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Thomas, David Jordan. "Competitive intelligence, a self diagnostic tool applied in the telecom industry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0017/MQ58512.pdf.
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Miller, Stephen. "Gamification of a business intelligence tool: an evaluation of user engagement scale." Thesis, University of the West of Scotland, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736948.
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Sakulsorn, Pattaravadee. "In-memory Business Intelligence : Verifying its Benefits against Conventional Approaches." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-128449.
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Business intelligence project failures in organizations derive from various causes. Technological aspects regarding the use of business intelligence tools expose the problem of too complicated tool for operational users, lack of system scalability, dissatisfied software performance, and hard coded business requirements on the tools. This study was conducted in order to validate in-memory business intelligence advantages towards functionality, flexibility, performance, ease of use, and ease of development criteria. A case study research method had been applied to achieve the goals in this thesis. Primarily, a pilot study was carried out to collect the data both from literatures and interviews. Therefore, the design of test case had been developed. Types of testing can be divided into 2 categories: BI functionality test and performance test. The test results reveal that in-memory business intelligence enhances conventional business intelligence performance by improving the software’s loading time and response time. At the meantime, it was proved to be flexible than rule-based, query-based, and OLAP tools, whereas its functionality and ease of development were justified to be better than query-based system. Moreover, in-memory business intelligence provides a better ease of use over query-based and rule-based business intelligence tools. Pair wise comparisons and analyses between selected in-memory business intelligence tool, QlikView, and conventional business intelligence software, Cognos, SAS, and STB Reporter, from 3 banks were made in this study based on the aforementioned test results.
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Lowe, Gerald C. "The Underutilized Tool of Project Management - Emotional Intelligence." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7851.
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Previous research has typically focused on singular attributes that impact a leader’s effectiveness. This study, instead, looks at whether emotional intelligence moderates the anticipated negative effect of distributed presence on engagement and influence, and ultimately, leader effectiveness. Buttressed by emotional intelligence, engagement, and influence theories, the research question focused on how emotional intelligence skills moderate the impact of a project manager’s distributed presence to render the leader effective. The study sample for this research came from voluntary participants who work for a U.S. government agency comprising leaders co-located with their teams and distributed presence leaders. Descriptive statistics showed that leaders with higher emotional intelligence (EI) were more engaging and influential than co-located leaders with high EI. Regression analyses indicated greatest significance between the dependent variables—engagement and influence—and the independent variables of distributed presence and emotional intelligence when using emotional intelligence branches and tasks for the EI variables. Data from this study showed distributed presence leaders with high emotional intelligence abilities effect engagement and influence positively. The work of this research advances insights into how emotional intelligence effects, positively, project leader engagement and influence when the project manager’s presence is distributed. The data rendered by this research was informative but only to a limited degree because results were not sufficiently expansive. Nonetheless, the application of this study applies to the practical world as distributed teams seems to be a more permanent part of the business landscape than temporary, and learning how to better work as a project manager with distributed presence is essential for both organizations and project managers.
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Torres, Russell. "Organizational Competency Through Information: Business Intelligence and Analytics as a Tool for Process Dynamization." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804918/.
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The data produced and collected by organizations represents both challenges and opportunities for the modern firm. Business intelligence and analytics (BI&A) comprises a wide variety of information management technologies and information seeking activities designed to exploit these information resources. As a result, BI&A has been heralded as a source of improved organizational outcomes in both the academic and practitioner literature, and these technologies are among the largest continuous IT expenditures made over the last decade.Despite the interest in BI&A, there is not enough theorizing about its role in improving firm performance. Scholarly investigations of the link between BI&A and organizational benefits are scarce and primarily exploratory in nature. Further, the majority of the extant research on BI&A is techno-centric, conceptualizing BI&A primarily an organizational technical asset. This study seeks to explicate the relationship between BI&A and improved organizational outcomes by viewing this phenomenon through the lens of dynamic capabilities, a promising theoretical perspective from the strategic management discipline. In so doing, this research reframes BI&A as an organizational capability, rather than simply a technical resource. Guided by a comprehensive review of the BI&A and dynamic capabilities literature, as well as a series of semi-structured focus groups with senior-level business practitioners with BI&A experience, this study develops and tests a model of BI&A enabled firm performance. Using a snowball sample, an online survey was administered to 137 business professionals in 24 industries. The data were analyzed using partial least squares (PLS) structural equation modeling (SEM). The findings support the contention that BI&A serve as the sensing and seizing components of an organizational dynamic capability, while transformation is achieved through business process change capability. These factors influence firm financial performance through their impact on the functional performance of the firm’s business processes. Further, this study demonstrates that traditional BI&A success factors are positively associated with BI&A sensing capability. This study makes several important contributions to BI&A research. First, this study addresses a gap in the scholarly literature by establishing a theoretical framework for the role of BI&A in achieving firm performance which is grounded in an established strategic management theory. Second, by drawing on the sense-seize-transform view of dynamic capabilities, this dissertation proposes a new conceptualization of BI&A as sensing and seizing organizational capabilities. Third, this research links the use of BI&A to improved organizational outcomes through the transformation of business processes, consistent with the view that the value of IT is derived from its impact on the value generating processes of the firm. Fourth, by viewing BI&A and business process change as distinct but inter-related components of dynamic capabilities, this research clarifies the role of BI&A in the dynamization of organizational processes, providing insight into the relationship between BI&A and business agility. Finally, this dissertation shows how BI&A capabilities are related to BI&A success factors identified in prior research.
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Wu, Xue. "Can Google Earth enhance Business Intelligence? : Exploring innovative uses of a new GIS tool." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1639.
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We are facing a period that coming into information time, which forced us to live in a new living style. It seems that every business movement is related with information transformation. When computers are used to deal with business data, we begin to search a way to make digital data into refined format information in order to let people to understand. This change results in a changing of business forms. For example, e-services refer to provide a certain service or play function on line, which has the tendency to replace the place of traditional service. How this kind of service can be developed remains a question mark to us.
The challenge of e-service is how to get different functions into integration. This thesis begins to research it focusing the point view of GIS (Geography Information System). Take Google earth as an example to illustrate how GIS is being used and what possible future uses of it can be developed. By exploring its use in data collecting, and analyzing, the possible applications in business world can be obviously released.
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Schmied, Marten. "Business Intelligence in Healthcare - Data Mining Techniques as a Possible Hospital Management Tool in Austria." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264283.
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Public healthcare provision is under increasing economic restraints making an efficient and sustainable managerial planning a necessity in the hospital sector. Business Intelligence is the extraction of business relevant knowledge in order to adjust and refine executive operations. On the free market industries have applied the according methods and software dedicated to the generation of Business Intelligence is offered by variety of companies. Data Mining, furthermore, describes the facilitation of algorithms in order to train programs to detect unseen patterns from huge amounts of data. Therefore mining techniques are suitable for adding to the business relevant knowledge, particularly as they can produce more accurate predictions. The thesis examined the status of Information Technology normally utilized in Austrian hospitals and simultaneously identified studies that apply Data Mining to a Hospital Information System to gain Business Intelligence. While the general level of Austrian Hospital Information Systems is well sophisticated, common challenges are present in a separation between clinical and administrative systems and their interfaces. For the Data Mining a majority of studies aims at medical improvements. Some applications were found to have good business relevant prospects but their feasible introduction into the practice needs additional fostering.
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Klaesson, Mårten. "Exploring factors that decides on how a Business Intelligence tool is being received by its users." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-417292.
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Self-Service Business Intelligence (SSBI) is a service where users can create reports andanalyze data on their own. It is an approach to decentralize competence and knowledge withina company. It has been proven to increase productivity and provide employees with morepossibilities to make smart data-driven decisions. I decided to do this project to learn moreabout SSBI and specifically explore what factors that contributes to the user experience ofworking with SSBI. With the help of a survey I was able to reach out to the employees at IfP&C Insurance.I asked how satisfied they were with the SSBI solution at the company, how theyexperienced loading times, how active they were and if SSBI brought value to their day to daywork among many other questions. The data from the survey was analyzed looking at trendsand correlation between answers to identify what parts employees were pleased with and theparts that needs more attention. This was done with the help of Decision Trees, correlationmatrices and extensive graph comparisons. The results managed to answer my scientificquestion rather well. It shows that most employees find that working with SSBI at If P&CInsurance is an enjoyable experience and they believe that it adds real value to their work.There is an interest in further education in Tableau, which is the SSBI software being used atIf P&C Insurance. A fact that shows that employees are eager to learn more, but also that theavailable education at the company has not reached out to all employees. There is also a majorissue with loading times when browsing reports. Users that experiences that loading times areslow or very slow are also overrepresented in the group that is not pleased with the software.The issue with slow loading times has two solutions that I recommend to the company: • Educate employees to create reports that require as low processing power as possibleto browse. This is something that a few employees asked for specifically. • Increase the capacity on their servers. As using Tableau and creating reports hasbecome more and more popular at the company, the servers have not been updated inthe same pace, creating long delays when browsing and working with reports. In general, I think If P&C Insurance has created a functioning environment for SSBI and ifthey address the few issues I have mentioned they will have a thriving Tableau communitywithin the company.
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Twum, Amoako Benjamin. "The importance of Business Intelligence as a decision-making tool : case study electricity company of Ghana (E.C.G)." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17652.
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Demand and technology are driving competition to its best if not to the edge, blurring the industrial boundaries and resulting in a substantial re-arrangement of businesses. The advancement in information technology has also made it possible for organisations to hoard large volumes of data from multiple sources through their business processes. To remain competitive in the face of these changing times and fierce competition, a tool is needed which has the capability to allow a holistic view of the operating environment of the organisation, by taking advantage of the huge body of accumulated data and thereby allowing decision makers to be spontaneous with their decision-making.Business Intelligence offers these capabilities and more, for instance the possibility to perform analytics operations about event(s) that demands more clarity on their behaviour.Research in this area, though young, is gradually gaining attention in academia, although still scanty in Africa. This thesis investigates if the adaptation of Business Intelligence (BI) systems can help in an organisation's strategic decision-making in the context of the Electricity Company of Ghana (E.C.G), operating in the utility industry in Ghana.A qualitative approach, employing interviews with seven selected managers at E.C.G was adopted. The results indicate that BI, or a similar system, has never been adapted by E.C.G, though the company creates huge data through its operations. Further, the organisation's information system is not linked together to allow possible discovery of some intelligence that would be worthwhile to influence strategic decisions. The dispersed nature of the current systems is not only causing delays in quest of information from other departments, but also affecting decision-making and progress of work. E.C.G is a prime candidate for the adaptation of BI to leverage on its huge data and also/additionally reduce production waste and costs and to help provide an efficient supply of electricity to its customers. Such a tool would prove to be indispensable.Program: Masterutbildning i Informatik
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Josimovic, Aleksandra. "AI as a Radical or Incremental Technology Tool Innovation." Thesis, KTH, Industriell Management, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230603.
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As researchers found that throughout the history a common challenge for companies across different industries, when it comes to leveraging and capturing value from a technology innovation is strongly influenced by the company’s dominant business model, an established framework through which assessment takes place. The overall purpose of this study is to provide a deeper understanding of the role that company's dominant business model has on the assessment of the impact that new technology innovation, in this case, AI, will have on the company and the market on which company operates. This thesis is partially exploratory and partially descriptive with a qualitative and deductive nature. In order to answer the purpose, a research strategy of case studies was used where empirical data was collected from interviews held with 47 company’s top executives from different hierarchical levels and business units, from Sweden, Switzerland, the USA, Germany, and Finland. The theoretical framework that describes the how AI as a new technology tool is perceived from the Company X perspective, either as a radical, game changer, or an incremental innovation technology tool and examines the role that dominant business model has on this perception was created. The developed implementation framework had its foundation in previous research concerning innovation business model theories. The data that was collected from the company’s executives were then analyzed and compared to the model. The most significant findings suggest that AI as a new technology tool is perceived as a game changer, radical innovation tool for some areas within the Company X and that the company dominant business model profoundly influences this perception.Som forskare fann att genom hela historien är en gemensam utmaning för företag inom olika branscher när det gäller att utnyttja och fånga värde från en teknologisk innovation starkt påverkad av företagets dominerande affärsmodell, en etablerad ram genom vilken bedömning sker. Det övergripande syftet med denna studie är att ge en djupare förståelse för den roll som företagets dominerande affärsmodell har vid bedömningen av den inverkan som ny teknik innovation, i detta fall AI, kommer att ha på företaget och marknaden där företaget driver . Denna avhandling är delvis undersökande och delvis beskrivande med kvalitativ och deduktiv natur. För att svara på målet användes en forskningsstrategi av fallstudier där empiriska data samlades in från intervjuer med 47 bolagets ledande befattningshavare från olika hierarkiska nivåer och affärsenheter, från Sverige, Schweiz, USA, Tyskland och Finland. Den teoretiska ram som beskriver hur AI som ett nytt teknikverktyg uppfattas ur företagets Xperspektiv, antingen som en radikal, spelväxlare eller ett inkrementellt innovationsteknologiprogram och undersöker den roll som dominerande affärsmodell har på denna uppfattning skapades. Den utvecklade implementeringsramen har grundat sig i tidigare forskning rörande innovationsmodellteorier. Data som samlades in från företagets chefer analyserades sedan och jämfördes med modellen. De viktigaste resultaten tyder på att AI som ett nytt teknikverktyg uppfattas som en spelväxlare, radikalt innovationsverktyg för vissa områden inom företaget X och att företagets dominerande affärsmodell påverkar denna uppfattning väsentligt.
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Tasola, Kullander Petter. "Information visualization as an interactive business intelligence tool for improved management and self-assessment of financial brokers in private banking." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255002.
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With an increase in storage capacity, many organizations strive to collect as much data as possible. The data can then be aggregated and visualized in order to provide a strategic advantage, commonly referred to as Business Intelligence (BI). Several sectors are contemporarily unfamiliar with the full potential of BI visualizations, among them the financial sector.In this report, an experimental design-oriented research study, set out to explore the affordances and challenges with designing an information visualization to improve both management and self-assessment of financial brokers in private banking at a large-scale bank.To explore this area, a prototype was iteratively developed based on information gathered from interviews and evaluations on two private banking managers and a panel of UX professionals at the bank. The final prototype was then evaluated by the two managers and five of their financial brokers through a combination of a task analysis and semi-structured interviews. The results concluded that the proposed visualization improved several aspects for financial management including business overview and workload balancing. However, the proposed tool was not deemed useful in self-assessment terms as financial brokers’ performance is so largely dependent on the current market state.Tack vare den ständigt ökande lagringskapaciteten så strävar idag många organisationer efter att samla på sig så mycket data som möjligt om sin verksamhet. Denna data kan sedan aggregeras och visualiseras för att förbättra företagets strategi, vilket kallas Business Intelligence (BI). Idag känner en del verksamheter inte till den sanna potentialen av informationsvisualisering inom BI, däribland äldre banker.Denna rapport är en experimentell, design-orienterad forskningsstudie med syftet att utforska möjligheterna och utmaningarna med att designa en informationsvisualisering för att förbättra både management och själv-utvärdering av börsmäklare inom private banking, på en storskalig, svensk bank.För att utforska detta område så utvecklades en prototyp iterativt, baserat på information som löpande samlats under semi-strukturerade intervjuer och utvärderingar. Prototypen utvärderades slutligen av två chefer och fem av deras anställda börsmäklare genom en kombination av task analysis och semi-strukturerade intervjuer. Resultaten visar att den föreslagna visualiseringen förbättrade ett flertal aspekter inom finansiellt management, bl.a verksamhetsöverblick och balansering av arbetsbörda. Den föreslagna prototypen var dock inte användbar sett till själv-utvärdering eftersom börsmäklares prestationer är så starkt kopplat till marknadens dagliga skick.
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Johari, Shirazi Iman. "Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance Monitoring." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23540.
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Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
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Druckenmiller, Douglas Allen. "Exploring Agent-Based Simulation of Causal Maps: Toward a Strategic Decision Support Tool." [Kent, Ohio] : Kent State University, 2005. http://www.ohiolink.edu/etd/view.cgi?acc_num=kent1112125730.
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Thesis (Ph.D.)--Kent State University, 2005.Title from PDF t.p. (viewed Feb. 23, 2005). Advisor: Acar, William. Available online via OhioLINK's ETD Center. Keywords: strategy making; causal mapping; multi-agent systems; knowledge management; dialectical inquiry Includes bibliographical references (p. 111-116).
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Opas, Tommi. "An investigation into the development of a Creativity Support Tool for advertising." Click here to access this resource online, 2008. http://hdl.handle.net/10292/681.
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In recent years, there has been a strong interest in developing Creativity Support Tools for many exciting areas of research such as art and music. Yet few such tools have been developed to support creativity in advertising. This is unusual since advertising, like art and music, is a highly creative endeavour of the human mind. The goal of advertising is to transform a communicational objective of a product or a service into a creative idea. A tool that would enhance the development of creative ideas in advertising would be highly beneficial for the advertising industry and possibly shed light on the mystery behind creativity. In this thesis, I developed Creative Pad, a new Creativity Support Tool to assist advertising creative in generating creative ideas for advertising. In developing Creative Pad, I studied advertising creativity and human creative thinking. I developed a framework for analysing the advertising process, in which the process is viewed as having three distinct phases: a message, an idea, and an execution. A significant implication of this view is that the process for developing ideas for new advertisements and the process of executing those ideas and turning them into creative products are independent. Each step is the result of a significant creative process. Creative Pad is developed to assist in the development of creative ideas for new advertisements. To assist this creativity, relevant triggers are needed. Research has shown that individuals with high associative skills produce more creative advertising. Creative Pad supports the associative skills of the advertising creative and exploits the use of the Internet as a dynamic database. It finds words and sentences related to the original communicational objective, providing relevant triggers for the associative creative process in the minds of the advertising creative. Several experiments using Creative Pad were conducted with advertising creative and students with no advertising background. The results show that Creative Pad supports the generation of new ideas in two ways. First, and most important, all the subjects were able to develop interesting new ideas. In particular, the advertising creative were able to design a sketch of the advertisement from ideas generated using Creative Pad. Second, I was able to find a connection between the triggers, the words and sentences selected by the user during the creative process, and the ideas generated. Although the connection might be considered a weak one, it nonetheless demonstrates that a connection exists between the ideas developed by the advertising creative and those suggested by Creative Pad.
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Oliveira, Filipe António Santos. "Produção de informação de suporte à decisão utilizando uma ferramenta de BI." Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/19696.
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Mestrado em Gestão de Sistemas de InformaçãoO aumento exponencial de dados disponíveis induziu a necessidade de utilização de ferramentas de análise e de gestão necessárias à sua transformação em informação útil para as organizações, com o objetivo de criar valor para os seus negócios. O presente trabalho visa relatar a experiência obtida na empresa EDP Serviço Universal e as tarefas que foram atribuídas ao longo do período de estágio. É também relatada a importância das ferramentas de business analytics e de business intelligence nas organizações, tal como os seus impactos e fatores críticos de sucesso. Por último a revisão da literatura terá como tema a gestão da qualidade dos dados e de que forma pode ser relevante para a respetiva análise. A empresa Serviço Universal do Grupo EDP, com o objetivo de analisar e fornecer informação com qualidade aos seus colaboradores e melhorar a atividade operacional, proporcionou ao estagiário a oportunidade de pertencer a uma equipa de analistas de negócio e aplicar todo o conhecimento adquirido ao longo do mestrado de Gestão de Sistemas de Informação. A fim de cumprir os objetivos propostos pela empresa, foi fornecida a ferramenta de análise SAS Enterprise Guide, que permitiu efetuar análises e elaborar relatórios de negócio sobre dados existentes na organização.
The exponential increase of available data has led to the need of use the management and analytical tools necessary to transform it, into useful information for organizations to create value for their business. This study aims to report a work experience in the company EDP Serviço Universal and tasks assigned during the internship period. It is also described the importance of business analytics and business intelligence tools in organizations, their impacts and critical success factors. Finally, the review of literature will focus on data quality management and what form can be relevant for their analysis. The company Serviço Universal of EDP Group, with the objective of analyzing and providing quality information to its employees and improving operational activity, offered the opportunity to belong to a team of business analysts and apply all the knowledge acquired over the Master in Management and Information Systems. In order to meet the company's proposed objectives, the SAS Enterprise Guide analysis tool was provided, which allowed the analysis and business reports on existing data in the organization.
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Zinchenko, Yulia. "IBM Cognos Report Studio as an Effective Tool for Human Capital Reporting." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199724.
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Main topic discussed in this diploma thesis is corporate reporting in terms of Human Capital using Business Intelligence tools, specifically IBM Cognos Report Studio. One of the objectives is to show step-by-step methodology of creating complex dynamic report, which includes data structure modeling, layout design and quality check. Another objective is to conduct Cost-Benefit Analysis for a real-life project, which is focused on recreating of Excel-based report in Cognos-based environment in order to automate information flows. Essential part of the diploma thesis is theoretical background of Business Intelligence aspects of data quality and visualization as well as purposes of human capital reporting and description of appropriate KPIs. Objectives are addressed by conducting analysis and research of resources related to topics described above as well as using IBM Cognos Report Studio provided by one of the major companies in financial advisory field. This diploma thesis represents relevant reading for those, who are interested in real-life application of data quality improvement and information flow automation using Business Intelligence reporting tools.
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Almanza, Inchaustegui Gerardo. "Factores que identifiquen la necesidad de implementar los sistemas de business intelligence a fin de mejorar la toma de decisiones en los procesos operativos del sector diagnóstica." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/625865.
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La presente investigación tiene por objetivo, exponer los factores que hacen necesaria la implementación de Business Intelligence con el fin de mejorar la toma de decisiones, que influyen directamente en la eficiencia de los procesos operativos de importación del sector Diagnóstica. Esta investigación se divide en 5 capítulos, en las que se usó el método científico detallado en el libro Metodología de la Investigación, el cual presenta a la investigación como un proceso sistemático, los capítulos están comprendidos por marco teórico, plan de investigación, metodología, desarrollo y aplicación, y análisis de los resultados. Asimismo, se busca identificar que, con esta herramienta informática, se podrá tener la posibilidad de mejorar los procesos operativos de importación. Para finalizar, se comprobará la relación existente entre las dos variables estudiadas Business Intelligence para la mejor toma de decisiones y la eficiencia de los Procesos Operativos, con el fin optimizar la cadena de valor y presentar una herramienta de innovación para el mundo de los negocios internacionales. Para ello, se realizaron análisis cuantitativos y cualitativos, y se empleó la herramienta de SPSS para mostrar el Análisis Factorial y Discriminante.The objective of this research is to expose the factors that make it necessary to implement Business Intelligence in order to improve decision making, which directly influence the efficiency of the importation processes of the Diagnostic sector. This research is divided into 5 chapters, in which the scientific method detailed in the book Methodology of Research was used, which presents research as a systematic process, the chapters are comprised by theoretical framework, research plan, methodology, development and application, and analysis of results. Likewise, it is sought to identify that, with this computer tool, it will be possible to have the possibility of improving the import operational processes. Finally, the relationship between the two variables studied Business Intelligence for the best decision making and the efficiency of the Operational Processes will be verified, in order to optimize the value chain and present an innovation tool for the world of international business. For this, quantitative and qualitative analyzes were carried out, and the SPSS tool was used to show the Factorial and Discriminant Analysis
Tesis
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Nawaz, Amir. "The Perceiced Impact of Business Intelligence Tools on Marketing Success." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10849.
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Purpose: The purpose of this study is to analyze the perceived impact of business intelligence tools on marketing success. Methodology: This research has conducted based on a literature study in the field business intelligence and pharmaceutical industry marketing. Primary data has been used in this thesis to evaluate the information technology impact on the market performance for pharmaceutical industries. The SPSS software package is used to analyze the employee responses and statistical technique. Regression analysis is used to check the impact of information technology on market performance. Findings: One hundred fifty questionnaires were given to the employees of 15 different pharmaceutical companies located in Pakistan. Among them, 104 were collected back and 100 questionnaires were considered valid and used for further analysis. After analyzing the data, it was evaluated that information technology has a significant impact on market performance in pharmaceutical industries. According to the stakeholders, strategic planning, organizational support, knowledge management and technological advancement have significant impact on the success of information technology for decision support systems. Research limitations/Implications: More research will be required on the theory presented in this thesis “The Perceived Impact of Business Intelligence Tools on Marketing Success”.
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Safari, Arash. "Visualization of E-commerce Transaction Data : USING BUSINESS INTELLIGENCE TOOLS." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177461.
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Customer Value(CV) is a data analytics company experiencing problems presenting the result of their analytics in a satisfiable manner. As a result, they considered the use of a data visualization and business intelligence softwares. The purpose of such softwares are to, amongst other things, virtually represent data in an interactive and perceptible manner to the viewer. There are however a large number of these types of applications on the market, making it hard for companies to find the one that best suits their purposes. CV is one such company, and this report was done on behalf of them with the purpose to identify the software best fitting their specific needs. This was done by conducting case studies on specifically chosen softwares and comparing the results of the studies.The software selection process was based largely on the Magic Quadrant report by Gartner, which contains a general overview of a subset of business intelligence softwares available on the market. The selected softwares were Qlik view, Qlik sense, GoodData, panorama Necto, DataWatch, Tableau and SiSense. The case studies focused mainly on aspects of the softwares that were of interest to CV, namely thesoftwares data importation capabilities, data visualization options, the possibilities of updating the model based on underlying data changes, options available regarded sharing the created presentations and the amount of support offered by the software vendor. Based on the results of the case studies, it was concluded that SiSense was the software that best satisfied the requirements set by CV.Customer Value(CV) är ett företag som upplever svårigheter med att presentera resultaten av deras dataanalys på ett tillfredsställande sätt. De överväger nu att att använda sig av datavisualisering och Business Intelligence program för att virtuellt representera data på ett interaktivt sätt. Det finns däremot ett stort antal olika typer av sådanna applikationer på marknaden, vilket leder till svårigheter för företag att hitta den som passar dem bäst. CV är ett sådant företag, och detta rapport var skriven på deras begäran med syftet att identifieraden datavisualisations- eller Business Intelligence programmet, som bäst passar deras specifika behov. Detta gjordes med hjälp av en serie fallstudier som utfördes på specifikt valda mjukvaror, för att sedan jämföra resultaten av dessa studier.Valprocessen av dessa mjukvaror var i stora drag baserad på "Magic Quadrant 2015" rapporten av Gartner, som innehåller en generell och överskådlig bild av business intelligence applikationsmarknaden. De applikationer som valdes för evaluering varQlik view, Qlik sense, GoodData, panorama Necto, DataWatch, Tableau och SiSense. Fallstudierna fokuserade främst på aspekter av mjukvaran som var av intresse till CV, nämligen deras dataimportationsförmåga, datavisualiseringsmöjligheter, möjligheter till att uppdatera modellen baserad på ändringar i den underliggande datastrukturen, exporeteringsmöjligheter av de skapade presentationerna och den mängd dokumentation och support som erbjöds av mjukvaroutgivaren. Baserad på resultaten av fallstudierna drogs slutsatsen att SiSense var applikationen som bäst täckte CVs behov.
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Smuts, Martin Bradley. "A framework for the design of business intelligence dashboard tools." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/12941.
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Vast amounts of data are collected on a daily basis, making it difficult for humans to derive at valuable information to make effective decisions. In recent years, the field of Business Intelligence (BI) and Information Visualisation (IV) have become a key driver of an organisation’s success. BI tools supporting decision making need to be accessible to a larger audience on different levels of the organisation. The problem is that non-expert users, or novice users, of BI tools do not have the technical knowledge to conduct data analysis and often rely on expert users to assist. For this reason, BI vendors are shifting their focus to self-service BI, a relatively new term where novice users can analyse data without the traditional human mediator. Despite the proliferation of self-service BI tools, limited research is available on their usability and design considerations to assist novice users with decision making and BI analysis. The contribution of this study is a conceptual framework for designing, evaluating or selecting BI tools that support non-expert users to create dashboards (the BI Framework). A dashboard is a particular IV technique that enables users to view critical information at a glance. The main research problem addressed by this study is that non-expert users often have to utilise a number of software tools to conduct data analysis and to develop visualisations, such as BI dashboards. The research problem was further investigated by following a two-step approach. The first approach was to investigate existing problems by using an in-depth literature review in the fields of BI and IV. The second approach was to conduct a field study (Field Study 1) using a development environment consisting of a number of software components of which SAP Xcelsius was the main BI tool used to create a dashboard. The aim of the field study was to compare the identified problems and requirements with those found in literature. The results of the problem analysis revealed a number of problems in terms of BI software. One of the major problems is that BI tools do not adequately guide users through a logical process to conduct data analysis. In addition, the process becomes increasingly difficult when several BI tools are involved that need to be integrated. The results showed positive aspects when the data was mapped to a visualisation, which increased the users’ understanding of data they were analysing. The results were verified in a focus group discussion and were used to establish an initial set of problems and requirements, which were then synthesised with the problems and requirements identified from literature. Once the major problems were verified, a framework was established to guide the design of BI dashboard tools for novice users. The framework includes a set of design guidelines and usability evaluation criteria for BI tools. An extant systems analysis was conducted using BI tools to compare the advantages and disadvantages. The results revealed that a number of tools could be used by non-experts, however, their usability hinders users. All the participants used in all field studies and evaluations were Computer Science (CS) and Information Systems (IS) students. Participants were specially sourced from a higher education institution such as the Nelson Mandela Metropolitan University (NMMU). A second field study (Field Study 2) was conducted with participants using another traditional BI tool identified from the extant systems analysis, PowerPivot. The objective of this field study was to verify the design guidelines and related features that served as a BI Scorecard that can be used to select BI tools. Another BI tool, Tableau, was used for the final evaluation. The final evaluation was conducted with a large participant sample consisting of IS students in their second and third year of study. The results for the two groups revealed a significant difference between participants’ education levels and the usability ratings of Tableau. Additionally, the results indicated a significant relationship between the participants’ experience level and the usability ratings of Tableau. The usability ratings of Tableau were mostly positive and the results revealed that participants found the tool easy to use, flexible and efficient. The proposed BI Framework can be used to assist organisations when evaluating BI tools for adoption. Furthermore, designers of BI tools can use the framework to improve the usability of these tools, reduce the workload for users when creating dashboards, and increase the effectiveness and efficiency of decision support.
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Bendák, Martin. "Implementace Business Intelligence ve firmě Haguess, a. s." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72430.
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The subject of this thesis is a pilot project of the implementation of the BI (Business Intelligence) solution in the company Haguess, a. s. The project is concerned with the analyses of data stored in a database -- DataBase Management System (DBMS) -- which is used as a data source by the web application Customer Support Center (CSC). Haguess primarily uses CSC as a helpdesk for its clients and partners, but also uses it for internal purposes. The main use of the CSC application is to support information systems delivered by Haguess. There were two motives for the choice of this subject: BI software tools had not previously been used by Haguess, and the company management was keen to get data analyses from the CSC application. That's why I decided to do these analyses. My goal was to create a practically useful solution which would be an incentive for Haguess to use BI software tools for other purposes. This thesis has two main goals. The first one is the realisation of the pilot BI solution, which would outline the possibilities for analysis of data from the CSC application using BI software tools. This involved the following activities: multidimensional analysis and BI solution design -- i.e. design of data pipelines, OLAP (On-Line Analytical Processing) cube/cubes, and user tools in MS Excel calculator. The second goal was to select the proper software tools for a future complex realisation and running of the BI solution. The first objective was achieved by doing the following: proper analysis of the CSC application data model, definition of user requests for output analysis and its comparison with the data model analysis. Based on this comparison, the basic subjects of output analyses were determined. These basic subjects were the starting point for the implementation of the BI solution. The second objective was achieved as follows: on the basis of the implementation results, basic demands (criteria) for BI software tools features were determined, bearing in mind the possible future complex realisation and running of a BI solution. Research determined which BI software tools were available on the market. The most suitable BI software tool was selected following a comparison of available options, and the criteria mentioned above. The primary outcome of this thesis is the creation of a practically usable BI solution.
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Slavětínský, Radek. "Analýza cloudových řešení Business Intelligence pro SME." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-358847.
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The thesis is focused on the analysis of presently offered products supporting Business Intelligence (BI) which are affordable for small and medium-sized enterprises (SMEs). Current BI solutions available to SMEs are mostly offered via Cloud computing, specifically in the form of Software as a Service (SaaS) as it requires low initial acquisition costs. The objectives of this thesis are to analyse the work in applications for BI in cloud that can be used by SMEs and to analyse in detail the comparison the worldwide extended reporting tools distributed as SaaS in the lower price category. The theoretical part provides a description of the Cloud computing and the BI system. In the practical part are selected following products: IBM Watson Analytics, Qlik Sense Cloud, Zoho Reports, Tableau Public and Microsoft Power BI. Practical testing of these applications was based on evaluation of the selected metrics with weights calculated by using the Fuller's triangle. Analyses and the information form the basis for comparison of selected applications. The contribution of this thesis is in discovering the strengths and weaknesses of these BI solutions. The output of this thesis can be used as a source for the selection of BI applications for SMEs.
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Gina, Bonginkosi Phila. "Factors That Drive the Selection of Business Intelligence Tools in South African Financial Services Providers." Master's thesis, Faculty of Commerce, 2021. http://hdl.handle.net/11427/33741.
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Innovation and technology advancements in information systems (IS) result in multiple product offerings and business intelligence (BI) software tools in the market to implement business intelligence systems (BIS). As a result, a high proportion of organisations fail to employ appropriate and suitable software tools meeting organisational needs, resulting in a prime number of BI solution failures and abandoned projects are therefore recorded. Due to such project failures, benefits associated with BI are not realised hence organisations loose enormous investments on BI solutions and competitive advantage. The study aims at discovering and exploring critical factors influencing the selection of BI tools when embarking on the selection process. This is a quantitative research study and questionnaire surveyed data was collected from 92 participants working in South African financial services providers listed on the Johannesburg Stock Exchange (JSE) appearing in the top 100 based on market capitalization. The data was analysed quantitative by employing the use of SPSS and SmartPLS-3 software's to test the significance of influential factors using the proposed conceptual model that emerged from the literature. The findings showed that a combination of domain technical and non-technical factors is critical. Therefore, software tool technical factors (functionality, ease of use, compatibility, availability of an integrated hardware/software package, and availability of source code), vendor technical factors (availability of technical support, technical skills, quality of product, availability of user manual for important information, tutorial for learning and troubleshooting guide, and experience in using product developed by the same vendor), and opinion non-technical factors (end-users, subordinates, outside personnel acquaintances, and improvement in customer service) emerged as significant combination of influential factors to be considered. The study contributes to both academia and industry by providing influential determinants for software tool selection. It is hoped that the findings presented will contribute to a greater understanding of factors influencing the selection of BI tools to researchers and practitioners alike. Furthermore, organisations seeking to select and deliver appropriate BI tools will be better equipped to drive such endeavours.
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Tounsi, Mohamed Ilyes. "Application and Survey of Business Intelligence (BI) Tools within the Context of Military Decision Making." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/7419.
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Business intelligence (BI) is a general category of applications and technologies for collecting, storing, analyzing, and providing access to data to help users make better and faster decisions. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining. The purpose of this research is to explore and survey several tools that fall under the BI umbrella and investigate their applicability within the context of military decision making. This survey will help military decision makers select the right BI tool for the right decision problem using the right technology. This would result in reduced IT costs by eliminating redundancy and consolidating computing resources, accelerated decision making, and improved accuracy, consistency, and relevance of decisions by providing a single version of truth.
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Knap, Pavel. "BI Governance." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-11567.
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The thesis is focused on the area of Business Intelligence Governance that seeks to management BI as a complex environment in an organization. The goal of this thesis is to create comprehensive BIG framework that will help to understand and lead BI, to support business strategy execution. The fist part of this thesis is introduction to the area of BIG. It contains definition of the term BI, description of trends in BI, definition of the term BIG and the answer on question Why do we need to governance BI. The second part focuses on description and evaluation of existing BIG instruments. The third part handles about new BIG framework and authorities. It describes particular building blocks of the framework and discovers structure of BIG authorities.
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Nordén, Mikaela. "Learning by the use of Business Intelligence : A case study made from an Organizational Behaviour Management perspective." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180383.
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Researchers claim that to improve business and really make an impact on the market it is critical to develop organizational capabilities and create organizational learning. Business Intelligence (BI) has during the latest years gained lots of attention among organizations for being a tool that can help improve the business. However, even though organizational learning is critical at the same time as BI has become a main tool to improve the business the linkage between these two concepts has not been a topic for research. This thesis is taking an Organizational Behaviour Management (OBM) perspective when analyzing whether BI-tools create the right conditions for learning. A case study was made at Skanska Sverige AB where their three largest BI-tools were analyzed. The study was made in three steps; by an individual analysis of the tools, a questionnaire sent to all operational managers who uses the tools and by interviews with nine of these managers. The analysis of the tools indicated that the BI-tools at Skanska Sverige AB do not currently create the right conditions for learning. Few actions are taken because of the information in the tools.
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MacGillivray, Alice Elizabeth. "Using business intelligence (information technology) tools to facilitate front-line priority-setting in a public sector organisation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ49193.pdf.
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Kottorp, Max, and Filip Jäderberg. "Chatbot As a Potential Tool for Businesses : A study on chatbots made in collaboration with Bisnode." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210768.
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The investigation aims to provide an answer to if a chatbot is a potential complement to an internal service desk of a company. The work has centered around developing a chatbot able to handle simple Q&A-interaction of the internal service desk of Bisnode, the company in question. The chatbot acted as an proof of concept, which then was tested by 15 individuals. The testing was done with pre- defined user scenarios, where the test person ultimately had to fill in a questionnaire with statements related to the overall experience. By summarizing the user evaluations from the questionnaires, combined with an SWOT analysis, the work concluded that a chatbot is indeed a potential complement to an internal service desk of a company, if it handles Q&A-interaction.
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Mirza, Hasnain Haider Baig. "Evaluation of KPI Monitoring Tools for an Automotive Supplier." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-209080.
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Automotive SPICE is used to evaluate the efficiency of the development processes for OEMs and ECU suppliers. It is a domain specific version of SPICE. Many automotive manufacturers are demanding Automotive SPICE level 2 from their suppliers. Application life cycle management solutions specific to automotive industry focus more on standardisation yet providing very little information about performance of processes. This thesis shows how Business Intelligence (BI) solutions can be helpful in achieving Automotive SPICE level 2 compliance and as comprehensive reporting tools. Moreover the evaluation of approaches for implementation of different BI systems has shown that commercial solutions can be beneficial for small to medium size suppliers. Implementing a BI solution can also point out possible improvement opportunities and bad practices for an organisation. The implemented BI system can only be efficient and useful if the underlying data is accurate and responsive.
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Widing, Härje. "Business analytics tools for data collection and analysis of COVID-19." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176514.
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The pandemic that struck the entire world 2020 caused by the SARS-CoV-2 (COVID-19) virus, will have an enormous interest for statistical and economical analytics for a long time. While the pandemic of 2020 is not the first that struck the entire world, it is the first pandemic in history where the data were gathered to this extent. Most countries have collected and shared its numbers of cases, tests and deaths related to the COVID-19 virus using different storage methods and different data types. Gaining quality data from the COVID-19 pandemic is a problem most countries had during the pandemic, since it is constantly changing not only for the current situation but also because past values have been altered when additional information has surfaced. The importance of having the latest data available for government officials to make an informed decision, leads to the usage of Business Intelligence tools and techniques for data gathering and aggregation being one way of solving the problem. One of the mostly used software to perform Business Intelligence is the Microsoft develop Power BI, designed to be a powerful visualizing and analysing tool, that could gather all data related to the COVID-19 pandemic into one application. The pandemic caused not only millions of deaths, but it also caused one of the largest drops on the stock market since the Great Recession of 2007. To determine if the deaths or other reasons directly caused the drop, the study modelled the volatility from index funds using Generalized Autoregressive Conditional Heteroscedasticity. One question often asked when talking of the COVID-19 virus, is how deadly the virus is. Analysing the effect the pandemic had on the mortality rate is one way of determining how the pandemic not only affected the mortality rate but also how deadly the virus is. The analysis of the mortality rate was preformed using Seasonal Artificial Neural Network. Forecasting deaths from the pandemic using the Seasonal Artificial Neural Network on the COVID-19 daily deaths data.
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Bäckström, Amanda, and Hannah Larsson. "Is There Such A Thing As Too Much Intelligence? : A qualitative study exploring how Born Global e-commerce companies are working towards adopting Artificial Intelligence into their Customer Relationship Management Systems." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-74865.
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The purpose of this thesis is to explore the drivers and barriers of adoption of technology such as AI and how it could facilitate an internationalization. The thesis also hopes to explore how Born Global e-commerce companies are working towards an adoption of AI into the companies CRM-system. The model of multiple case study was chosen together with a qualitative method and an abductive approach. This was done by collecting primary data from three different Born Global firms within the e-commerce sector, as well as one CRM expert company, all located in Sweden and active on the international market. Furthermore, the theoretical framework presented Born Global, Technology Adoption, Customer Relationship Management and Artificial Intelligence. With the theoretical framework in mind, the conceptual framework was developed to show how the theories are connected to each other. Thereafter, the empirical findings were first presented and analysed together with theory and the voice of the authors of the thesis. The analysis visualize both similarities and dissimilarities between the empirical findings and the theory presented in the thesis. The final chapter concludes the barriers and drivers that Born Global e-commerce companies faces when adopting AI into their CRM-system. It also explains how AI within CRM could be beneficial as a tool on the Global market, rather than in the actual process of internationalization. To conclude the authors present the fact that companies are not working towards an adoption of AI into their CRM-systems. However, further development within the field is presented as well as theoretical and practical implications.
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Brož, Ondřej. "Vizualizace dat v reportingových nástrojích BI." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-72549.
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This diploma thesis deals with the Business Intelligence reporting tools and more especially with their data visualization capabilities. There are a lot of different reporting and analytic tools focusing for example on ad-hoc query, tool for creating dashboards or scorecards, visual discovery tools and advanced analytical tools for data mining etc. This work, however, is focused especially on selected enterprise reporting tools and data visualization tools as well as their possibilities of data isualizations, i.e. using different types of graphs and other possible advanced data visualizations. The Business Intelligence fundamentals together with the possible the reporting and analysis visual outputs are described at the beginning of this diploma work. The reporting itself is also putted into the context of the Business Intelligence solution. The next section is focus on the visual possibilities of data visualization in BI reporting tools. It means that I created the list of possible BI data visualizations with the detail specifications and showing examples on each of them. After this part, there are shown proper data visualizations for each of the selected BI domains, like finance, sales, marketing and human resources. This output belong to one of the main contributions of this work and also could be practically useful in the process of report creation and selection for Clever Decision's BI reporting needs. In the next chapter I compare the visual possibilities for each of the selected BI reporting tools according to Gartner. To this purpose the official documentations will be used as well as my personal experience gained from using some of selected reporting tools. In the last section there are detail views for each of two selected advanced data visualizations including a detail specification on each of them as well as his possible usage in practice and possibilities for further extension as well. The source of information in this section will be professional electronic resources focused on data visualization, design and so on.
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Hedin, Nathalie, and Adrian Zander. "Using KPIs in decision-making tools in the construction industry." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253805.
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The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. This can be a time-consuming process that could be made more efficient through Business Intelligence (BI). BI is a technology that automatically, with the help of selected Key Performance Indicators (KPIs), shows the current status of how a business performs. This can allow managers and executives to make decisions easier and faster.This study examines which KPIs that are of common interest to companies and organizations in the construction industry as well as how these KPIs can be presented to the end users of a BI application. To investigate this, data is collected through literature studies and interviews, which results in a list of common KPIs for the industry. From this common list, a number of KPIs are selected to be visually represented.An analysis of the results, indicates that KPIs are of different importance and relevance depending on which sector of the construction industry the interviewee belongs to. There also appears to be sector-specific KPIs and the common list suggests that the profit margin is of great importance throughout the whole industry. KPIs can be represented in different types of charts and diagrams, depending on the purpose they hold, and should be designed so that they are intuitive and easy to understand.Bygg- och hantverksbranschen har stor möjlighet att effektivisera sin verksamhet ännu mer genom att i större utsträckning utnyttja den digitaliserade utvecklingen. Branschen använder idag mycket manuell datahantering och manuell dataanalys för att få en överblick över verksamheten och ta beslut. Detta kan vara en tidskrävande process, som skulle kunna effektiviseras ytterligare genom Business Intelligence (BI). BI är en teknologi som automatiskt, med hjälp av valda nyckeltal (KPI:er), visar aktuell status på hur en verksamhet presterar. Detta kan göra att beslutsfattare kan fatta beslut enklare och snabbare.Denna studie undersöker vilka nyckeltal som är av gemensamt intresse för företag och organisationer i byggoch hantverksbranschen samt hur dessa nyckeltal kan presenteras för slutanvändarna av en BI-applikation. För att ta reda på detta samlas data in genom litteraturstudier och intervjuer, vilket resulterar i en lista över gemensamma KPI:er i branchen. Ur denna lista handplockas ett antal nyckeltal ut för att representeras visuellt.En analys av resultaten indikerar att nyckeltal är av olika vikt och relevans, beroende på vilken sektortillhörighet av byggoch hantverksbranschen den intervjuade tillhör. Det verkar även finnas sektorspecifika KPI:er samt att listan med de branchgemensamma nyckeltalen antyder att vinstmarginal är av stor vikt. KPI:er kan representeras i olika typer av diagram beroende på vilket syfte de innehar och bör designas så att de är intuitiva och lättförståeliga.
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Sewdass, Nisha. "The implementation of Competitive Intelligence tools and techniques in Public Service departments in South Africa to improve service delivery a case study of the Department of Home Affairs /." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-09272009-154654/.
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Appelqvist, Oscar, and Sara Klåvus. "Omvärldsanalys delight : En studie av hur små till medelstora företag kan få igång ett omvärldsanalysarbete." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13613.
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Syftet med uppsatsen är att kunna erbjuda små till medelstora företag förslag på lämpliga modeller och IT-stöd att använda till omvärldsanalys. Genom att föreslå modeller och IT-stöd samt hur de används kan företag upprätta ett omvärldsanalysarbete utan att hyra in extern hjälp. Större företag har ofta en större budget och även resurser som aktivt arbetar med att bevaka omvärlden. Den sortens resurser finns inte i mindre företag eftersom kostnaden att hyra in konsulter för hjälp med omvärldsanalysarbete är för hög. Det i kombination med att kunskap saknas om hur ett omvärldsanalysarbete kan genomföras resulterar i att det ofta inte blir av. Fyra omvärldsanalysmodeller valdes ut och testades vid workshoppar på två olika företag. Vid sidan av det har kompletterande intervjuer genomförts på tre företag samt att en studie av lämpliga IT-stöd för omvärldsbevakning upprättats. Undersökningen visade att en manual är den mest lämpliga presentationsformen för hur små till medelstora företag kan använda sig av utvalda modeller och IT-stöd vilket skulle bidra till att de inte behöver hyra in extern hjälp för att starta ett omvärldsanalysarbete. I manualen framgår också vilka omvärldsanalysmodeller och IT-stöd som funnits mest lämpliga för små till medelstora företag.The purpose of this thesis is to offer models and IT-supportive tools for external business intelligence for smaller to medium sized businesses. Larger businesses often have more funds and resources that continuously work to monitor the surrounding environment. However, due to the fact that small businesses lack the time and knowledge to investigate external business intelligence sufficiently, and lack appropriate funds to hire a consultant, as they are too expensive, smaller businesses rarely ever have access to these resources. Four models for external business intelligence were chosen and tested in workshops with two different companies, three different companies were approached and participated in interviews, and a study on useful IT-supporting tools for external business intelligence was conducted. The study has shown that the most suitable way to display models and IT-supportive tools is with a manual that would assist smaller to medium sized businesses with external business intelligence without the need to hire external assistance.
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Verníček, Marek. "Možnosti využitia Big Data pre Competitive Inteligence." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-261751.
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The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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Oucif, Kadday. "Evaluation of web scraping methods : Different automation approaches regarding web scraping using desktop tools." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188418.
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A lot of information can be found and extracted from the semantic web in different forms through web scraping, with many techniques emerging throughout time. This thesis is written with the objective to evaluate different web scraping methods in order to develop an automated, performance reliable, easy implemented and solid extraction process. A number of parameters are set to better evaluate and compare consisting techniques. A matrix of desktop tools are examined and two were chosen for evaluation. The evaluation also includes the learning of setting up the scraping process with so called agents. A number of links gets scraped by using the presented techniques with and without executing JavaScript from the web sources. Prototypes with the chosen techniques are presented with Content Grabber as a final solution. The result is a better understanding around the subject along with a cost-effective extraction process consisting of different techniques and methods, where a good understanding around the web sources structure facilitates the data collection. To sum it all up, the result is discussed and presented with regard to chosen parameters.En hel del information kan bli funnen och extraherad i olika format från den semantiska webben med hjälp av webbskrapning, med många tekniker som uppkommit med tiden. Den här rapporten är skriven med målet att utvärdera olika webbskrapnings metoder för att i sin tur utveckla en automatiserad, prestandasäker, enkelt implementerad och solid extraheringsprocess. Ett antal parametrar är definierade för att utvärdera och jämföra befintliga webbskrapningstekniker. En matris av skrivbords verktyg är utforskade och två är valda för utvärdering. Utvärderingen inkluderar också tillvägagångssättet till att lära sig sätta upp olika webbskrapnings processer med så kallade agenter. Ett nummer av länkar blir skrapade efter data med och utan exekvering av JavaScript från webbsidorna. Prototyper med de utvalda teknikerna testas och presenteras med webbskrapningsverktyget Content Grabber som slutlig lösning. Resultatet utav det hela är en bättre förståelse kring ämnet samt en prisvärd extraheringsprocess bestående utav blandade tekniker och metoder, där en god vetskap kring webbsidornas uppbyggnad underlättar datainsamlingen. Sammanfattningsvis presenteras och diskuteras resultatet med hänsyn till valda parametrar.
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Al-Majali, Faris. "An investigation of the integration of business intelligence tools with the roles of performance management of wholesale SMEs in the UK : to enhance decision making that maintains/improves operational performance." Thesis, University of Huddersfield, 2013. http://eprints.hud.ac.uk/id/eprint/19752/.
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This thesis investigates the role of business intelligence tools (BI) in performance management activities within small to medium enterprises(SME). The purpose of this investigation is to align the features of BI tools with the performance management activities in a model that supports the roles of performance management in the targeted sector. The proposed model also considers the characteristics of SMEs by choosing the appropriate technologies to support the role of BI with regard to the limited capabilities of SMEs. In general, this research proposes a model that supports the adoption of BI tools to enhance decision making that improves performance management activities in SMEs. After identifying the influential sectors in the UK region, this investigation has targeted the wholesale industry because it is a major contributor to the national economy. In addition, the nature of the wholesale industry makes it more appropriate for the purpose of this research, to be able to generalise the results across the targeted sector. The purpose of this research is described through the research aims; these aims are 1) to encourage the use of BI tools to improve performance within the targeted sector, and 2).to remove the barriers facing wholesale SMEs when attempting to adopt BI tools. In course of this research, the accomplishment of these aims is described in a third aim, which is the principle aim of the research. This aim is to establish the basis for a new policy that encourages and promotes the adoption of BI tools in performance management activities, to enhance decision making that improves performance management within wholesale SMEs in the UK. The features of the proposed model incorporate the defined BI tools and the performance management activities with the factors that influence 1) the strengths and weaknesses of SMEs in general, 2) performance management in wholesale SMEs and 3) the adoption of BI tools. The proposed model was developed through a literature survey that identifies the critical success factors (CSFs) that influence the functions of the model, the performance management activities at the operational level of performance management, and the appropriate BI tools that enhance decision making to improve the performance management activities. The model is further validated using a quantitative questionnaire survey using to validate the model within wholesale SMEs in the UK. And finally, the practicality of the proposed model in real life situations is evaluated through an interview with a manager of a wholesale SME.
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Krečmerová, Petra. "Srovnání vybraných komerčních reportingových BI platforem." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201755.
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This Diploma thesis focuses on a comparison of selected commercial reporting BI platforms. The goals of the thesis are to create pilot dashboards based on three Business Intelligence tools, compare these tools among themselves and select the most optimal one for creating dashboards. The theoretical part describes the problematics of Business Intelligence, its principles and components. These are divided into several layers such as production systems, transformation and data layers, data analysis and presentation layer. The performance dashboard are then described and an indepth analysis of the commercial tools market has been performed. In the practical part pilot dashboards are created based on retail chains data in three selected Business Intelligence tools Power BI, QlikView and Tableau. These are then compared and based on a multi-criteria analysis the optimal tool for creating dashboards is selected and recommended. The evaluation criteria, their weights using Fuller´s method and the final evaluation based on the Weighted Sum Approach are set in the analysis. The Diploma thesis is set up for a project of the Competency center Retail Analytics and for the professional community. It shall be used as one of the sources in the selection of BI reporting platform.
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Bednář, Jan. "Srovnání komerčních BI reportovacích nástrojů s nástroji Open Source." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-165134.
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Diploma thesis deals with comparison of commercial and Open Source Business Intelligence (BI) reporting tools. The main aim of the thesis is to provide a list of BI reporting tools and their further comparison. Evaluation is based on a set of criteria. Every criterium has its assigned value that represents the importance of the criterium in a given group. The same procedure is applied on the groups. The final evaluation is based on defined values of these groups. The output of the thesis is a table structured into five parts according to defined groups of criteria. The second part of the thesis walks the reader through the practical showcase of implementation one of the selected tools that is SAP Business Objects Enterprise 4.0. At the beginning, there is a description of report proposal that contains graphical design and functionality requirements. Next part shows the whole process in detail.
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Nguemdom, Ruth Carelle. "Etude critique des outils juridiques des investissements économiques en Afrique : analyse des politiques économiques et fiscales." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01D003.
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Plus de cinquante années après les indépendances, les outils juridiques des investissements économiques n'ont pas permis d'atteindre les objectifs en faveur du développement économique et social en Afrique. Ces outils sont constitués de l'ensemble des dispositifs juridiques et administratifs permettant la gestion et la promotion des investissements économiques. Ce sont des instruments de politique économique et fiscale que l'Etat doit utiliser pour permettre la réalisation de ses objectifs. Jusqu'à ce jour, ces politiques n'ont pas permis de faire émerger des instruments adaptés aux priorités nationales et de permettre le développement économique et social par le biais des investissements économiques. En effet, au regard des indicateurs de développement, le continent apparaît en dernière position. Malgré son potentiel naturel sans égal, le continent africain peine à trouver sa place dans la mondialisation car, d'innombrables difficultés et faiblesses entachent l'efficacité desdits outils, avec un impact plus grand en Afrique Subsaharienne que dans le reste des Etats du continent. Ces défaillances découlent tant du dispositif juridique en lui-même que de l'environnement général des affaires qui englobent le contexte économique, financier, politique et social. Si des efforts sont constatés dans de nombreux pays du continent africain, dans l'ensemble, beaucoup reste à faire pour permettre aux outils de jouer leur rôle et accroître la compétitivité économique de ce continent. Toutefois, les Etats peuvent réussir à transformer cet échec grâce à une politique économique et fiscale intelligente. Ceci doit prendre appui non seulement sur des Institutions de pilotage des investissements, mais également sur un dispositif juridique national et international plus harmonieux afin de propulser Je développement économique et social par le biais des investissements économiquesMore than fifty years after independence, the legal tools of economic investments have failed to achieve the objectives for economic and social development. These tools consist of all legal and administrative arrangements for the management and promotion of economic investments. These are economic and fiscal policy instruments that the State must use to enable the achievement of its objectives. To date, these policies have not led to the emergence of instruments tailored to national priorities and enable an economic and social development through economic investments. Indeed, in terms of development indicators, the continent is death last. Despite its unparalleled natural potential, the continent is struggling to find its place in globalization because innumerable difficulties and shortcomings blemish the effectiveness of such tools, with a greater impact in Sub-Saharan Africa than in the rest of the states of the continent. These failures result from both the legal device itself as the general business environment encompassing the economic, financial, political and social. If efforts are seen in many countries of the continent, one should say that much more need to be done in order to enable the tools to play their role and enhance the economic competitiveness of the continent. Nevertheless, States will succeed in transforming this failure through an intelligent economic and fiscal policy. This must be based not only on investments steering Institutions, but also a more harmonious national and international legal mechanism to propel the economic and social development through economic investments
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Dražil, Michal. "Datová kvalita, integrita a konsolidace dat v BI." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-11986.
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This thesis deals with the areas of enterprise data quality, data integrity and data consolidation from the perspective of Business Intelligence (BI), which is currently experiencing significant growth. The aim of this thesis is to provide a comprehensive view of the data quality in terms of BI, to analyze problems in the area of data quality control and to propose options to address them. Moreover, the thesis aims to analyze and assess the features of specialized software tools for data quality. Last but not least aim of this thesis is to identify the critical success factors in the field of data quality in CRM and BI projects. The thesis is divided into two parts. The first (theoretical) part deals with data quality, data integrity and consolidation of data in relation to BI trying to identify key issues, which are related to these areas. The second (practical) part of the thesis deals at first with the features of software tools for data quality and offers their fundamental summary as well as the tools breakdown. This part also provides basic comparison of the few selected software products specialized at the corporate data quality assurance. The practical part hereafter describes addressing the data quality within the specific BI/CRM project conducted by Clever Decision Ltd. This thesis is intended primarily for BI and data quality experts, as well as the others who are interested in these disciplines. The main contribution of this thesis is that it provides comprehensive view not only of data quality itself, but also deals with the issues that are directly related to the corporate data quality assurance. This thesis can serve as a sort of guidance for one of the first implementation phases in the BI projects, which deals with the data integration, data consolidation and solving problems in the area of data quality.
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HUNG, JUI-CHEN, and 洪瑞珍. "An Application Of Data Mining Using Business Intelligence Tool." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/pv2pmb.
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碩士國立高雄第一科技大學
電子工程系碩士在職專班
105
The advanced information technology, well developed internet, increasing computing capability of computer and continuing improvement of data collection and storage not only accelerate the accessibility of data but also change the way of data application. On the other hand, the technique of data mining also help to dig out the potential data model and transferring into valuable information for decision makers to initiate appropriate strategy, which is one of the most important competitive advantage. Therefore, data mining and business intelligence (BI) are gradually valued by the industry. The business intelligence system integrates, connects, and collects the data from different enterprise systems, such as System, Application and products in data Processing (SAP) and Customer Relationship Management (CRM). BI can be used to analyze business data and the commercial operation value. By using the analysis techniques of data warehousing, Online Analytical Processing (OLAP), and data mining, decision makers can get the maximum value of the information and initiate strategy more efficiently. This research focus on applying current business intelligence tools to design an in-depth analysis, and end up designing a report as a basis for corporates to query and make decisions. Work process software, which base on Microsoft SQL Server 2008R2 is incorporated with SSIS (SQL Server Integration Services) to transform, combine, sort and generate clean Data Warehousing and SSAS (SQL Server Analysis Service) for the purpose of Multidimensional Cube analysis. Through the language of MDX (Multidimensional Expressions), the elements, calculation and query of data analysis are defined. At the same time, the advantage of DMX (Data Mining Extension) is also coordinated to predict future and seek for business opportunity. Regarding displaying the front-end management decision making, the OLAP is used, so users can generate an exclusive business intelligence reports by execute the Microsoft Excel Pivot Table. So that decision makers can look at the big picture, be considerate and meticulous, and work out splendid plans to win victories in battles a thousand miles away Key words: Business Intelligence (BI), Data Warehousing, Online Analytical Processing (OLAP), Multidimensional Expressions (MDX), Data Mining, Data Mining Extension (DMX)
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Kloppers, Christo. "The use of competitive intelligence by companies in South Africa as a tool to inform corporate decision making." Thesis, 2012. http://hdl.handle.net/10210/6608.
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Prisco, Filipa Abrunhosa de Carvalho e. Almeida. "A framework to support the creation of a Business Intelligence tool- application in an industrial context." Dissertação, 2021. https://hdl.handle.net/10216/135159.
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Prisco, Filipa Abrunhosa de Carvalho e. Almeida. "A framework to support the creation of a Business Intelligence tool- application in an industrial context." Master's thesis, 2021. https://hdl.handle.net/10216/135159.
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Lenz, Luca Erhard. "Business model benchmarking : how a machine learning-based tool can support business model innovation." Master's thesis, 2020. http://hdl.handle.net/10400.14/31220.
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An increasing body of literature has developed around business models and business model innovation in recent years, establishing the concepts’ relevance for the competitiveness of a firm. The process of innovating a business model is less researched and still constitutes a com-plex and challenging task for businesses. Despite the advancements of technology, only few tools have been developed to support said process. Thus, present work focuses on how this process can be facilitated by introducing the concept of benchmarking and complementing it through a machine learning model. A machine learning supported multi-case theory building approach was followed to indicate how benchmarking business models might benefit compa-nies and to arrive at a machine learning model supporting this endeavour. The business models of 306 firms were evaluated to do so. Benchmarking business models can benefit a company by monitoring and learning from other organizations to spark innovation and support idea cre-ation. The machine learning model predicts business model patterns which are used to make processes across companies comparable. The present thesis results in a business model bench-marking tool which supports managers and entrepreneurs alike in their quest of business model innovation.Nos últimos anos, um número significativo de estudos foram desenvolvidos em torno de modelos de negócios e na inovação dos mesmos, afirmando a relevância destes conceitos para a competitividade de uma empresa. O processo de inovação de um modelo de negócio não só é pouco estudado, como ainda constitui uma tarefa complexa e desafiadora para as empresas. Apesar dos avanços da tecnologia, apenas algumas meios foram desenvolvidos para dar suporte ao referido processo. Assim, a presente dissertação realça como este processo pode ser facilitado, introduzindo o conceito de benchmarking e completando-o através do modelo ‘machine learning model’. Multi-case theory building foi apoiado pelo modelo ‘machine learning model’ para indicar como a análise de benchmark dos modelos de negócio podem beneficiar as empresas e para alcançar um machine learning model que suporte esse esforço. Nesse sentido, os modelos de negócio de 306 empresas foram avaliados. A aprendizagem e monitorização de outras organizações pode beneficiar o modelo de negócio de uma empresa, estimulando a inovação e a criação de novas ideias. Machine learning model é um modelo que prevê os padrões de modelos de negócio que são utilizados para tornar os processos entre empresas comparáveis. A presente dissertação desenvolveu um método de análise de benchmark de modelos de negócio que apoia gerentes e empreendedores na pesquisa pela inovação de modelos de negócio.
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Kruger, Jean-Pierre. "A study of strategic intelligence as a strategic management tool in the long-term insurance industry in South Africa." Diss., 2010. http://hdl.handle.net/10500/3701.
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Changes and challenges that have occurred in the past two decades have forced a radical shift in the basic foundations of how business is conducted. Internal, as well as external forces have forced organisations to constantly monitor their surrounding environment in order to create an awareness of opportunities and threats to allow them to survive in their competitive environment.
Organisations need to gather all the information at their disposal, and turn the raw data into intelligence through a process of analysis and an exercise of human judgement. By utilising the potential offered by information systems in the process of generating intelligence and creating a corporate knowledge base to be used in strategic decision-making will lead to competitive advantage and constant innovation.
Strategic Intelligence has information as its foundation. This research proposes that through its ability to absorb sources of information, the synergy of Business Intelligence, Competitive Intelligence, and Knowledge Management combined to form Strategic Intelligence, will allow organisations to incorporate all of their information and intellectual capital into a single database or system which will meet the intelligence requirements of management.
The purpose of this study is to identify the current use of Strategic Intelligence in the Long-term Insurance Industry in the South African environment, and through the use of a survey questioned the benefits or problems experienced by executive management who have not yet implemented and used Strategic Intelligence as an input to the Strategic Management process, and identified the perceived value Strategic Intelligence could add in the decision-making process.
The research study shows that organisations have not yet fully embraced a model for a cooperative global internal corporate Strategic Intelligence System or Portal that will incorporate all aspects of Strategic Intelligence into a single, easily manageable resource for management’s strategic planning and decision-making process, even though it could enhance their ability to withstand the onslaught of global competitors and expand their business into new markets, protect their local market or identify potential merger or acquisition targets, and increase innovation within the organisations.Business Management
M. Com. (Business Management
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楊曉真. "The study of customer satisfaction for sales performance and the effectiveness analysis of implementing a business intelligence system–For CW company of hand tool manufacturer." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/ws4q4e.
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碩士南開科技大學
車輛與機電產業研究所
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Customer satisfaction is commonly used as a basis for quality improvement policy, a series of business activities which contain delivery, product, pricing and service, but there is no sales performance information for sale personnel to forecast the sales performance and marketing strategy from the feedback of customer satisfaction questionnaires. The major study of this paper is to explore the relationship between the customer satisfaction and sales performance according to relationship marketing, service quality, and buyer behavior, these three topics to design 2014 CW company customer satisfaction questionnaire for CW company hand tool manufacturer to survey the customers of CW company hand tool manufacturer. In order to divide the feedback of 2014 CW customer satisfaction questionnaires to two categories, one is the top10 sales performance of 2014 and the other is non-top10 sales performance of 2014. Use statistical techniques Chi-Square test and Pearson product-moment correlation to analyze the relationship of the customer satisfaction with sales performance. Then to implement a business intelligence management model to sales department of CW company hand tool manufacturer, and study how to link up organization operation management with sales promotion management by the business intelligence management system to create consumer behavior models and to satisfy each different kinds of customer by customizing their unique product. Ultimately, we build a new learning operation management model and hope to increase outstanding accomplishment and find the way to let the CW company hand tool manufacturer be sustainable development and improvement.
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Francis, Ramani. "An investigation into data management as a strategic information tool and its importance at the Durban University of Technology." Thesis, 2012. http://hdl.handle.net/10321/784.
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Submitted in fulfilment of the requirements for the Degree of Master Technologiae: Public Management, Durban University of Technology, 2012.The purpose of this study was to investigate data management as a strategic information tool and its importance at the Durban University of Technology. The problem revolved around, inter alia, data management and data accuracy as structured interventions impacting on sound decision making. There were many challenges identified with regard to data management at the Durban University of Technology. The research design adopted a quantitative methodological approach that was used for collecting data through the use of a precoded self administered questionnaire. The empirical component involved a survey method considering that in was an in-house investigation and the target population equated to only 174 respondents. A significant response rate of 74% was obtained using the personal method for the data collection. Several hypotheses were formulated relating to data quality initiatives, data owners and their responsibility and frequency of data analysis in order to determine accuracy. These were tested using the Pearson chi-square test as well as data that was analyzed to determine frequencies and percentages of responses. The data was analyzed using the computerized Statistical Program for Social Sciences (SPSS) program. There were some significant findings that emerged from the empirical analysis. A highly significant finding was that 95.31% of the respondents strongly agreed that data management and integrity is of utmost importance at the Durban University of Technology. One of the recommendation suggest that an imperative for the Durban University of Technology to manage its data as an asset, a policy on data integrity and integration policy should be developed and implemented. Another recommendation highlighted and staff should strive to attain proper classification on the database, considering that this directly impacts on the accuracy of the HEMIS submissions to the Ministry of Education for the state allocated subsidy. The study concludes with directions for further research as well.