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Dissertations / Theses on the topic 'Business intelligence'
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Хмелик, Людмила Яківна, Людмила Яковлевна Хмелик, Liudmyla Yakivna Khmelyk, and R. O. Atamanyuk. "Business intelligence." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13506.
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Strejčková, Lucie. "Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124609.
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The diploma project deals with the issue of Business Intelligence, it focuses on tools used for data analysis and presentation. The project is divided into two parts -- the theoretical and practical one. The theoretical one applies to the characterization of the principle, the description of the architecture components and presentation techniques. The aim of this project is to suggest new suitable analytical tools and graphic interface of BI system for small and medium-sized businesses. Using selected tools is illustrated on a specific example.
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Bolton, Björn, and Axel Jakobsson. "Business Intelligence: Transforming Intelligence into Actions." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354890.
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Business Intelligence (BI) is a topic that has attracted attention from both researchers and practitioners. Despite BI's promising possibilities, few organizations are able to transform BI-insights into actions. Thus, the purpose of this study was to understand: How organizations can transform BI insights into actions, and which capabilities impact this transformation. In order to obtain this understanding, a case-study was conducted. We interviewed six consultants from leading consultancy firms, and a practitioner who uses BI on a daily basis. Prior to this, the authors reviewed previous BI literature which suggests that BI needs to be combined with capabilities for employees to utilize BI. Microfoundations was used as a theoretical framework to identify important capabilities and how they relate to BI. The findings distinguished specific capabilities that impacts the ability to utilize BI. Capabilities such as communication, sponsorship, culture, and clear strategies & goals, are important in order to better take advantage of BI. The conclusions are that hard skills (e.g. technical competencies), education and experience among the employees may not be as crucial as previously thought. This is because BI-systems are becoming more intuitive and easier to use.
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Khalaf, Patrik. "Mobile business intelligence : För en lyckad mobile business intelligence lösning." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15752.
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Allt fler organisationer börjar se nyttan med Business Intelligence och varför det bör implementeras i sin verksamhet. Genom att använda sig av beslutsstödsystem kan organisationer samla ihop och bearbeta affärs-data och på så sätt få ut mer av sin verksamhet. Idag räcker det inte längre att ha tillgång till endast företagsinformationen inom verksamheten utan det behövs också kunna utnyttja realtids datan genom de mobila enheterna, detta genom Mobile Business Intelligence. Det handlar om en mobil variant av den traditionella business Intelligence (BI). Med tanke på den mobila användningen ökade tillgängligheten samt prestandan i mobila enheter, så finns det stora möjligheter för Mobile BI ute i verksamheterna. Mobile BI som vilket nytt system som helst kommer även en viss problematik, kritiska framgångsfaktorer har analyserats och utvärderats. Inom dimensionen organisationsstöd identifierades två framgångsfaktorer som kunde styrkas vid namn managementsupport och skickligheter & kunskaper. Utöver dessa kunde även ytterligare två framgångsfaktorer styrkas som kritiska, nämligen datasäkerhet och användbarheten genom den begränsade skärm-ytan. Med denna studie ska det underlätta och göra det enklare för verksamheter att implementera Mobile BI i sin verksamhet. Studien tar upp viktiga framgångsfaktorer vid en implementation av Mobile BI och vad organisationer bör ha i åtanke.More and more organizations are beginning to see the benefits of Business Intelligence and why it should be implemented into their business. By using decision support systems, organizations can merge and process business data and thus get more out of their business. Today, access to business information within the business is no longer sufficient, but it also needs to be able to use real-time data through the mobile devices. This through Mobile Business Intelligence, which is about a mobile variant of the traditional business intelligence (BI). Given the current mobile usage and how it has increased accessibility and mobile device performance, there are great opportunities for Mobile BI in the business. Mobile BI as any new system will also come with a certain problematic and critical success factors have been analyzed and evaluated. Within the organizational support dimension, two success factors were identified that was confirmed critical by name management support and knowledge and skills. In addition to these, another two success factors could be proved critical, named data security and usability through the limited screen area. With this study, it will facilitate and make it easier for businesses to implement Mobile BI in their operations. The study addresses key success factors in implementing Mobile BI and what organizations should keep in mind.
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Sklenář, Ondřej. "Nástroje Business Intelligence - analýza trhu nástrojů Self-service Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192447.
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The diploma thesis is focused on a specific area of self-service business intelligence. The advantage of this approach to the business intelligence is reduction of demands on IT development and using tools by end users. They can generate reports and outputs according to their requirements during the relevant time period. The theoretical part is dedicated to illustrate this concept with all benefits and risks. Furthermore, it describes trends occurring in the domain of business intelligence. These trends transcend outline the domain of business intelligence and are valid throughout IT. The practical part is dedicated to the analysis market of self-service business intelligence tools. On basis of established criteria are then compared these tools and deduced general conclusions regarding their functionality. Then, by using three selected tools is created comprehensive business intelligence task with the aim of clarifying a degree of self-service for these instruments. The main benefit of this thesis is based in the integrated analysis of market self-service business intelligence tools and determination of their functionality.
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Slebodník, Matej. "Implementace Business Intelligence." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444688.
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The diploma thesis deals with the implementation of a Business Intelligence solution for the endowment fund helping with debt relief for people and thus replaces the current process of manually created reports. The main goal of this solution is to bring to the endowment fund the opportunity to make faster and better decisions, as well as many other benefits associated with Business Intelligence.
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Bľanda, Lukáš. "Implementácia Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17181.
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This diploma thesis deals with the implementation of Business Intelligence solution in a travel industry company and its interconnection to Balanced Scorecard as one of the enterprise performance management tool. First part focuses on pointing out the main theoretical foundations of Balanced Scorecard and Business Intelligence. It describes Balanced Scorecard and its principles and it also defines Business Intelligence, the architecture of BI and the implementation process generally. In the second part the particular metrics model is generated and a few specific metrics from this model are implemented in the Business Intelligence pilot project.
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Křižka, Radek. "Mobilní Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150094.
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Business Intelligence (BI) has now become a core part to many businesses due to the benefits it brings -- the ability to access data in a common format from multiple sources and making decisions that help organization to move closer to its goals. Many workers today spend most of their time away from their office and can't easily access corporate data. The use of the Internet on mobile devices has changed the way people consume information. Embracing mobile computing means having the ability to access information anywhere, anytime and as a result consumers can make decisions faster. Thesis is focused on mobile Business Intelligence and the aim is to provide o comprehensive overview of this area, examine market trends, define critical success factors for implementation projects, and introduce mobile BI platform QlikView. Furthermore it explains the differences between traditional and mobile BI, explores benefits and drawbacks of these tools and the challenges that must be addressed. The reader will learn what types of employees and tasks are suited for mobile BI programs and outlined critical success factors might be valuable information for any company planning implementation of mobile BI tools.
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Dzimko, Miroslav. "Řešení Business Intelligence." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318585.
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Diploma thesis presents an evaluation of the current state of the company system, identification of critical areas and areas suitable for improvement. Based on the theoretical knowledge and analysis results, commercial Business Intelligence software is designed to enhance the quality and efficiency of the company's decision-support system and the introduction of an advanced Quality Culture system. The thesis reveals critical locations in the corporate environment and opens up space to design improvements to the system.
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Turricchia, Elisa <1984>. "Pervasive Business Intelligence." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5232/1/TURRICCHIA_ELISA_TESI.pdf.
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In the last few years, a new generation of Business Intelligence (BI) tools called BI 2.0 has emerged to meet the new and ambitious requirements of business users. BI 2.0 not only introduces brand new topics, but in some cases it re-examines past challenges according to new perspectives depending on the market changes and needs. In this context, the term pervasive BI has gained increasing interest as an innovative and forward-looking perspective. This thesis investigates three different aspects of pervasive BI: personalization, timeliness, and integration.
Personalization refers to the capacity of BI tools to customize the query result according to the user who takes advantage of it, facilitating the fruition of BI information by different type of users (e.g., front-line employees, suppliers, customers, or business partners). In this direction, the thesis proposes a model for On-Line Analytical Process (OLAP) query personalization to reduce the query result to the most relevant information for the specific user.
Timeliness refers to the timely provision of business information for decision-making. In this direction, this thesis defines a new Data Warehuose (DW) methodology, Four-Wheel-Drive (4WD), that combines traditional development approaches with agile methods; the aim is to accelerate the project development and reduce the software costs, so as to decrease the number of DW project failures and favour the BI tool penetration even in small and medium companies.
Integration refers to the ability of BI tools to allow users to access information anywhere it can be
found, by using the device they prefer. To this end, this thesis proposes Business Intelligence Network (BIN), a peer-to-peer data warehousing architecture, where a user can formulate an OLAP query on its own system and retrieve relevant information from both its local system and the DWs of the net, preserving its autonomy and independency.
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Turricchia, Elisa <1984>. "Pervasive Business Intelligence." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5232/.
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In the last few years, a new generation of Business Intelligence (BI) tools called BI 2.0 has emerged to meet the new and ambitious requirements of business users. BI 2.0 not only introduces brand new topics, but in some cases it re-examines past challenges according to new perspectives depending on the market changes and needs. In this context, the term pervasive BI has gained increasing interest as an innovative and forward-looking perspective. This thesis investigates three different aspects of pervasive BI: personalization, timeliness, and integration.
Personalization refers to the capacity of BI tools to customize the query result according to the user who takes advantage of it, facilitating the fruition of BI information by different type of users (e.g., front-line employees, suppliers, customers, or business partners). In this direction, the thesis proposes a model for On-Line Analytical Process (OLAP) query personalization to reduce the query result to the most relevant information for the specific user.
Timeliness refers to the timely provision of business information for decision-making. In this direction, this thesis defines a new Data Warehuose (DW) methodology, Four-Wheel-Drive (4WD), that combines traditional development approaches with agile methods; the aim is to accelerate the project development and reduce the software costs, so as to decrease the number of DW project failures and favour the BI tool penetration even in small and medium companies.
Integration refers to the ability of BI tools to allow users to access information anywhere it can be
found, by using the device they prefer. To this end, this thesis proposes Business Intelligence Network (BIN), a peer-to-peer data warehousing architecture, where a user can formulate an OLAP query on its own system and retrieve relevant information from both its local system and the DWs of the net, preserving its autonomy and independency.
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Biberic, Jasmin, and Hampus Hodell. "Beslut och Business Intelligence : Hur Business Intelligence stödjer beslutsfattande i företag." Thesis, Uppsala University, Department of Business Studies, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8020.
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Den globala ekonomin har gjort att företag är beroende av säker information som ska hjälpa dem att fatta bättre beslut. Allt fler företag agerar på den globala marknaden vilket gör konkurrensen större. Därför behöver företag allt mer och säkrare information. De
företag som har många konkurrenter behöver mycket information om dessa för att kunna fatta beslut som kommer att ta dem ett steg före konkurrenterna. Att kunna anpassa sig i denna omvärld ställer stora krav på företagen. Business Intelligence kan förhoppningsvis
hjälpa företagen att anpassa sig på ett bättre sätt. Eftersom Business Intelligence ger tidiga varningar om hur marknaden ser ut och hur konkurrenter beter sig, kan företag som använder Business Intelligence anpassa sig till dessa förändringar. Anpassningarna kan ske tidigare tack vare Business Intelligence. Business Intelligence handlar i stora drag om att få en bättre bild av vad som händer i marknaden, t ex vad konkurrenter, kunder och leverantörer gör, ifall tekniken har förändrats och hur marknaden ser ut i stort. Dessa faktorer analyseras för att finna en bra väg framåt, bedöma risk och formulera underlag för beslut. En roll som Business Intelligence uppfyller är att ge tidiga varningar om förändringar i marknaden.
Denna uppsats syftar till att undersöka hur Business Intelligence (BI) fungerar i företag, samt att ge en allmän bild av beslutsstöd.
Vi har utfört intervjuer med Länsförsäkringar, Coop och Electrolux. Dessa intervjuer har gett oss information om hur dessa företag använder sig av beslutsstödssystem och på vilket sätt deras beslutsstöd hjälper dem att fatta beslut. Teoridelen i denna uppsats utgår ifrån den rationella beslutsmodellen som vi har använt som analysverktyg för att se hur företag fattar beslut.
Analysen visar hur Business Intelligence kan hjälpa företag när de fattar beslut. Vi har analyserat med den rationella beslutsmodellen som verktyg och gjort en stegvis analys. Vi har beskrivit och analyserat utifrån den rationella beslutmodellens olika steg och sett i vilka steg BI kan hjälpa till när företag fattar beslut.
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VENKATESH, UMA DEVI. "LITERATURE REVIEW ON BUSINESS INTELLIGENCE : BUSINESS INTELLIGENCE SOFTWARE FOR EDUCATIONAL INSTITUTIONS." Thesis, Högskolan i Halmstad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33523.
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MOHAN, ANEESHA. "QUALITATIVE ANALYSIS OF BUSINESS INTELLIGENCE : BUSINESS INTELLIGENCE IN THE BUDGETING PROCESS." Thesis, Högskolan i Halmstad, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33520.
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Benjaminsen, Helle. "Business Intelligence for SMB." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14366.
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Denne oppgaven tar for seg småa- og mellomstore bedrifters (SMB) behov forBusiness Intelligence (BI), og utfordringer for slike bedrifter. Det diskutereshvordan disse bedriftene burde gåa fram, for å lykkes med BI. Det gjøresogsåa en vurdering på hvilke bedrifter som er egnet for å benytte seg avOpen Source BI-programvare.
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Olsson, Björn. "Trender inom Business Intelligence." Thesis, Blekinge Tekniska Högskola, Sektionen för management, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1331.
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Business Intelligence har under de senaste åren vuxit starkare fram och innefattar nu en hel yrkesroll i gränslandet mellan teknik och företagsekonomi. Detta syns framförallt inom det företagsekonomiska området och särskilt inom ekonomistyrningen. Denna uppsats försöker besvara frågorna ”Hur har utveckling upp till idag av Business Intelligence sett ut?” och ”Vilka trender finns idag inom Business Intelligence ur ett företagsekonomiskt perspektiv?”. Uppsatsen behandlar inte något specifikt verktyg eller systemleverantör utan har som utgångspunkt att undersöka trender inom floran av systemverktyg utan att för den sakens skull gå in på någon specifik lösning. Business Intelligence historia summeras upp utifrån 60-talet fram till idag och ett antal trender presenteras i punktform. Därefter presenteras åtta trender inom Business Intelligence idag: Paketering av lösningar, integration med befintliga applikationer, ökad användarupplevelse, systemen blir verksamhetsövergripande, ökad priskonkurrens, kraftig konsolidering av marknaden, introduktion av realtidslösningar, organisering av BICC. Dessa trender förklaras och på detta sätt ges läsaren en uppfattning om vart utvecklingen av Business Intelligence-verktygen är på väg samt vad som kan förväntas av framtiden de närmaste åren för dessa.
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Steen, Mathias, and Rickard Svensson. "Business Intelligence i SharePoint." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-129396.
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The goal for this thesis work was to develop Business Intelligence (BI) for an IT consultant company. LexiConsult is an IT consultant company in the Lexicon-group which offers expertise within Office (templates, database, spreadsheets, Outlook etc.) but also SharePoint development and services like support, documentation etcetera. We have investigated the functionality in SharePoint and MS SQL Server and have also evaluated which possibilities these platforms offer in terms of creating a BI-solution for LexiConsults needs. SharePoint offers a variety of different tools and services for BI but none of these where available in the Office365-version which LexiConsult uses. Another solution was therefore suggested where the reports should be published on a web hosting company. We have also studied critical success factors when implementing BI in an IT consulting company. The result is a set of BI-reports developed for SQL Server Reporting Services (SSRS), which the staff of LexiConsult can access via their SharePoint site. The reports are designed for monitoring and analysis of the economy with e.g. key performance indicators, drill-down of the revenue in different aspects such as by time period, per employee, per customer etcetera. The reports provides vital knowledge that can be used for decision support, e.g. which customers and which types of projects is the most profitable and should be given priority. Have the consultants had high occupancy rate lately and what is the forecast for the future? Should more consultants be hired? Some of the reports are restricted from access by others than management of the company, and some are accessible by all employees. Data is queried from the SQL-database to the company’s system for booking and invoicing as well as their SharePoint site. This data is transformed to information which should give knowledge about the company and its finances. The result of the thesis work is of interest both within the company and as a product targeting their customers.Målet med detta examensarbete var att utveckla Business Intelligence (BI) för ett IT-konsultföretag. LexiConsult är ett IT-konsultföretag i Lexicon-gruppen som främst erbjuder expertstöd inom Office (mallar, databaser, kalkylmodeller, Outlook m.m.) men även utveckling och tjänster inom SharePoint, support, dokumentation med mera. Vi har undersökt funktionaliteten i SharePoint samt MS SQL Server och utvärderat vilka möjligheter plattformarna erbjuder för att skapa en BI-lösning som passar LexiConsults behov. SharePoint har stöd för ett antal olika verktyg, tjänster och tekniker för BI men inga av dessa fanns tillgängliga i den Office365-version som LexiConsult använder. Istället föreslogs en lösning där rapporterna skulle publiceras hos ett webhosting-företag. Vi har även undersökt vilka kritiska framgångsfaktorer som finns vid införandet av BI i ett IT-konsultföretag. Resultatet blev ett antal BI-rapporter utvecklade för SQL Server Reporting Services (SSRS) som LexiConsults personal kan ta del av via deras SharePoint-sajt. Rapporterna är utformade för uppföljning och analys av ekonomin med exempelvis indikatorer för viktiga nyckeltal, nedbrytning av intäkterna i olika synvinklar - per tidsperiod, per konsult, per kund och så vidare. Rapporterna ger viktig kunskap som kan användas för beslutstöd, till exempel vilka kunder och vilka typer av uppdrag som är mest lönsamma och ska prioriteras. Har konsulterna haft hög beläggningsgrad den senaste tiden och hur ser prognosen för framtiden ut? Ska ytterligare konsulter anställas? Några av rapporterna är behörighetsstyrda så att endast ledningen har åtkomst till dem, medan andra är tillgängliga för alla. Data till rapporterna hämtas från SQL-databasen till företagets boknings-, och faktureringssystem samt SharePoint-sajt. Detta data omvandlas till information i rapporterna, som ska ge kunskap om företaget och dess ekonomi. Resultatet av arbetet är intressant både för internt bruk inom LexiConsult och som produkt mot företagets kunder.
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Závodný, Martin. "Analýzy trhu Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-1301.
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Cílem diplomové práce je vytvoření uceleného přehledu trhu Business Intelligence (BI). V úvodní části jsou uvedeny obecné principy technologie Business Intelligence. Následuje analytická část, zabývající se poptávkou a nabídkou na trhu BI v ČR a ve světě. Další část je věnována aplikačním oblastem a službám BI. Poté následuje analýza BI nástrojů, v rámci níž je trh nástrojů rozdělen do čtyř segmentů ? databáze, nástroje datové integrace, pokročilé analytické nástroje a řešení pro data mining. V závěrečné části je uveden přehled trendů týkajících se trhu a využití Business Intelligence v podnikové praxi. V příloze jsou shrnuty některé významné dodavatelské subjekty působící na českém trhu.
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Šídlo, Petr. "Návrh projektu business intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-15865.
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This dissertation titled Designing Project Business Intelligence focuses on data warehouse in a medium-sized company. The theoretical portion of the thesis describes the topic of data warehouse and dimensional modeling. In the first theoretical chapter, I compare and contrast two approaches to datawarehouse building - Bill Inmon's and Ralph Kimball's. Then, basic terminology used in the field, principles of dimensional modeling and various approaches of database use will be described. Furthermore, the thesis illustrates the role of the Mondrian system as a mediator between the relational database and the OLAP server. Possible uses of the MDX language in working with multidimensional databases are outlined. The theoretical portion of the thesis ends with a description of the applicational interface XMLA, which can be used for facilitation communication between applications and the OLAP server. The practice-oriented portion of the thesis includes a complete design of the Business Intelligence project. The project is divided into the following parts: Feasibility Study, Project Planing, Business Requirements, Design and Development, and Deployment and Maintenance. The entire project operates exclusively on Open Source Software. Consequently, the project shows that small and medium-sized companies can afford to run a fully operating Business Intelligence system.
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Havránek, Denis. "Business Intelligence v pojišťovnictví." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74868.
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The thesis focuses on the application of Business Intelligence technologies in the insurance area, aiming concretely at their use in insurance companies. The aim is to introduce and summarize the various processes and information needs that are part of an insurance company and the ways that business intelligence tools can support and improve those processes. To achieve this goal I describe and present the internal functioning of the main processes in insurance companies emphasizing on data examples and the concrete use of BI. Furthermore, I point out two specific examples of Business Intelligence products, which are built and are aimed for the insurance industry. Specifically, I review InsFocus Business Intelligence product from InsFocus Insurance and SAS Business Intelligence from SAS. These two products are reviewed in terms of architecture, functionality and implementation process. At the end of the thesis, I've created a theoretical analysis for a Business Intelligence implementation in a fictitious insurance company. The benefit of this work is to present a comprehensive look at the advantages of Business Intelligence for insurance companies, at some specific products which relate to BI and insurance, and a look at the way that an analysis for a BI insurance solution is made.
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Lhotan, Petr. "Business Intelligence v SCM." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75684.
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The diploma thesis Business Intelligence in Supply Chain Management deals on the edge of IT and logistics with designing conceptual solution for BI in SCM. It covers specific needs of Supply-Chains, usage of BI in logistics, analyses the connection to the SCOR model developed by Supply-Chain Council, and designs & describes basic dimensions and relationships in the dimensional model. The primary goal is to create a general BI model solution that respects the specifics of various types of Supply-Chains in order to serve as a theoretical framework. The resulting model links to existing models designed for the Supply-Chain Management such as SCOR, Balanced Scorecard etc. To fulfil the primary goal first it is necessary to identify the specifics of various types of supply-chains, define BI use case and requirements in logistics; and by incorporating these parameters and SCOR model the BI model solution will emerge. The biggest contribution is the fulfilment of the primary goal - the creation of BI solution reference model for Supply-Chain with specific needs according to suppliers, manufacturers, distributors and retailers. With the help of this model it should be easier to coordinate, clarify goals, activities and relationships of methods used in the pre-analytical stage and implementation of the BI technologies in the Supply-Chains.
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Šmerda, Miroslav. "Řízení projektů Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75901.
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The diploma thesis deals with project management in Business Intelligence, a relatively new area of information systems. The first part of the thesis describes basic background of project management in general and some specifics of information systems project management. As one of the fundamental concepts, thinking about a project within its lifecycle is accented. The practical part examines the challenges of managing BI projects in a real financial institution in the Czech Republic. The aim of this section is to fill gaps in the existing project methodology of the financial institution by creating a mapping between the project lifecycle and processes of world-renowned PMBOK methodology.
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Wall, Nicklas. "The business intelligence mediator." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15093.
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The purpose of this study is to provide a positioning of business intelligence in a changing environment and proving its affected aspects. Put within company’s ongoing change process. The study wishes to harmonize the acceptance of a technological change. This is pursued by highlighting (selected) factors that generate an effect on the uncertainty of an adjustment. The study is conducted as to create a low cost as possible to enable businesses to achieve goals and visions straightforward. This study provides guidelines in how a business intelligence system acts upon ongoing change in an organization. The phenomenon of change will be covered through an in-depth investigation of a company that is in the initiation and implementation phase of a BI system. By understanding the current thoughts and discussions of the personnel - and following how these requests are answered by the investment, a further discussion will be found within organizational change theory. This research gets support from an emergent, inductive and qualitative approach when discovering concepts and key variables that exist at the analyzed company. In this study I will identify factors associated with requests. Conclusively, variables of proactivity, duality, risk management and accesibility were found to be inharmonious factors for change. This realization was made possible through inductive research as well as through prior theory. The business intelligence brings a shared knowledge pool, acting as a great mediator for a firms change process. Most business’ have an ocean of information. Virtually every organization keeps records of their transactions, customers and products (among many). Nursing all this information and becoming conscious of the data makes the user transmorph and/or advance to a position of command. The user and/or organization with the power is the one succeeding. If a company is able to exactly understand it’s customers, they have the ability to churn the profits better. Creating an ever better change process.Syftet med denna studie är att skapa en positionering av business intelligence i en föränderlig miljö för att påvisa dess påverkade aspekter. Studien är placerad i ett företags pågående förändringsprocess. Undersökningen syftar att harmonisera acceptansen av en teknologisk förändring. Detta genomförs genom att belysa (utvalda) faktorer som genererar en yttring kring osäkerheten av en förändring. Studien utförs för att skapa en så låg kostnad som möjligt, så att verksamheter ska kunna nå sina mål och visioner mer klanderfritt. Denna studie ger riktlinjer för hur ett företagsintelligenssystem (BI system) agerar inom pågående förändringar i en organisation. Förändringsfenomenet kommer att undersökas genom en fördjupad analys av ett företag som befinner sig i initierings- och implementeringsfasen för ett BI-system. Genom att förstå personalens nuvarande tankar och resonemang – och att sedan följa hur dessa indikationer för utveckling besvaras av investeringen. Därav har studien möjlighet att bli placerad inom organisationsförändringsteori. Denna forskning får stöd via ett framväxande, induktivt och kvalitativt tillvägagångssätt, genom att upptäcka begrepp och nyckelfaktorer som finns i det analyserade företaget. I denna studie kommer jag att identifiera faktorer som hör samman med behov. Konklusivt visade sig variabler av proaktivitet, dualitet, riskhantering och tillgänglighet vara inharmoniska faktorer för förändring. Denna insikt blev möjlig via induktiv forskning samt genom tidigare teori. Affärsintelligensen ger en gemensam kunskapspool och utfaller vara en stor medlare för ett företags förändringsprocess. De flesta företag har mängder av information. Praktiskt taget alla organisationer förrättar register över sina transaktioner, kunder och produkter (bland många). Skötsel av all denna information och att bli medveten om datans potential medför att användaren övergår och / eller avancerar till en position av ledning. Användaren och / eller organisationen med makten är den som lyckas. Detta i sin tur kan medföra en starkare förändringsprocess.
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Drdla, Tomáš. "Návrh řešení Business Intelligence." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241406.
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The aim of this thesis is to propose Business Intelligence solutions and consider its impact on decision-making, implementation costs, the overall contribution to the company and make a proposal that will help to change in the present conditiontion unsatisfactory situation of data management in enterprise JáNěkdo.CZ s.r.o.
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Crossland, Maria. "How business intelligence is adding business value." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/10287.
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Includes bibliographical references (leaves 67-72).Business Intelligence (BI) continues to top the list of CIO priorities, investment in BI technologies continues to grow and organizations are becoming increasingly reliant on BI to help reduce costs and grow revenues. However, structured measurement and monitoring of the business value that can be attributed to BI investment remain elusive. This study used a multiple case study approach to examine how BI is adding value to organizations, what processes and methods are being followed for the evaluation of the business value that BI delivers as well as what approaches are being used to maximize the potential value that the organization's investment on BI could deliver.
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Benoni, Daniel. "Business Activity Monitoring v řešení Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-15593.
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Business Activity Monitoring (BAM) is an acronym of Gartner Inc. to describe systems that are intended to provide "Real-time access to critical business performance indicators to improve the speed and efficiency of business operations. BAM systems help enterprises improve their operational efficiency and increase the ability of understanding and responding to events that have a significant impact on their business processes. Despite the fact that most businesses today are in urgent need to improve their operating performance, BAM systems as a solution seams to don't approach. The reality is that many software vendors supplied new BAM systems solutions by simply adding new features to existing products. In addition, there are no formal standards to define which specific features of the BAM system should contain. Another problem is the lack of theoretical models to support comparative analysis between the different systems of BAM. The aim of my thesis is to contribute to the improvement of the existing theoretical basis for the use of Business Activities Monitoring (BAM) as part of BI solutions, by providing an understanding of the relationship between the needs of decision support systems in real time and current applications of systems BAM. This work provides evidence that the relationship between the Real-time Business Intelligence needs of enterprises and BAM solution is determined by the need to ensure that the BAM system deliver current Real-time information to enable BAM users, who are often operating managers directly responsible for business processes, effectively respond to referred alert, supplied by the BAM system. To increase users' ability to effectively respond to events generated by the BAM system depends primarily on two basic operational issues. First, it is necessary to ensure adequate response for BAM users, to ensure necessary actions associated with the event. Second, BAM user must be able to understand the nature of the problem associated with the event, to initiate the proper steps to resolve the problem. Here it shows that, apart from insufficient knowledge of the nature of problems, BAM system needs, beside generation alerts in very low latency, also add context to these alerts, to provide enough information for BAM users to understand the nature of the problem associated with the event.
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Gluchowski, Peter, Marcus Hofmann, Frieder Jacobi, Robert Krawatzeck, and André Müller. "Business-Intelligence-Umfrage 2011: Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business-Intelligence-Systeme." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-75452.
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Am Lehrstuhl Wirtschaftsinformatik II der TU Chemnitz arbeitet die Nachwuchsforschergruppe Computer-Aided Warehouse Engineering (CAWE), die seit August 2010 besteht, an einem vollständig modellgetriebenen Vorgehen zur Unterstützung des Lebenszyklus von Business-Intelligence-Systemen (BI-Systemen). Neben der Durchführung von Grundlagenforschung hat die Nachwuchsforschergruppe die Erstellung eines Software-Prototyps zum Ziel. Eine wichtige Funktionalität ist die automatische Erzeugung von Systemdokumentationen für verschiedene BI-Systeme mit dem Schwerpunkt auf den Architekturkomponenten. Im Rahmen des Forschungsprojektes führte die CAWE Nachwuchsforschergruppe unter der Leitung von Prof. Dr. Peter Gluchowski in 2011 eine bundesweite Umfrage bei mittelständischen bis großen Unternehmen zu folgendem Thema durch: „Softwaregestütztes Lebenszyklusmanagement und aktuelles Dokumentationsgeschehen für Business Intelligence-Systeme“.
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Chamoun, Christoffer. "Self-Service Business Intelligence : Kritiska framgångsfaktorer för att tillämpa Self-Service Business Intelligence." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15645.
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Self-service Business Intelligence är idag ett relativt nytt koncept och det blir vanligare idag att verksamheter börjar röra sig mot denna nya trend inom Business Intelligence för att att göra sina användare mer flexibla i sitt beslutsfattande. Anpassningen idag till Self- service BI är idag är låg och har sjunkit de senare trots stora investeringar. Konceptet med Self-service BI är kan vara svårt för användarna att förstå och det finns ett antal faktorer som kan bidra till att öka anpassningen och uppnå framgångar med att tillämpa SSBI. Denna studien syftar till att ta reda på: ”Vad finns det för kritiska framgångsfaktorer för att tillämpa Self-Service BI? ”. För att besvara frågan användes en kvalitativ metod och insamlingen för data utfördes med hjälp av semistrukturerade intervjuer. Intervjuerna utfördes på 6 företag med 6 olika respondenter som har erfarenhet inom SSBI och BI. Respondenterna bidrog med empirisk underlag för att kunna besvara studiens frågeställning, men även till litteraturen med information som litteraturen tidigare inte nämner. Resultaten har visat att svaren från respondenterna och litteraturen går i linje med varandra när det gäller kritiska framgångsfaktorer. Framgångsfaktorerna som diskuteras och tas upp av respondenterna och litteraturen var: Rätt verktyg för rätt användare & anpassningsbara användargränssnitt, utbildning, data governance & data management, kartlägga användare och tillgänglighet av data för att framgångsrikt tillämpa SSBI. Nya faktorer som framkom under de semistrukturerade intervjuerna med respondenterna var: Change management, kommunikation och experimentering & testning.
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El-Najjar, Lin, and Filip Ilic. "Business intelligence för beslutsstöd inom telekommunikationsbolag : Nyttjandet av Business intelligence för att effektivisera affärsprocesser." Thesis, Södertörns högskola, Medieteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-44602.
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The value of data is growing to an increasing extent. The increased amount of available data has enabled business intelligence to take great strides in development. Organizations use data in order to enhance parts or entire operations within the organization. Business intelligence supports organizations in the management of data and mainly to create decision support. However, business intelligence is a broad topic which can be affected by factors such as Big Data or Cloud computing and can be applied in different ways. Previous studies shows that only a few organizations have succeeded in increasing profitability after implementation of business intelligence. This study therefore aims to create a deeper understanding of how business intelligence is used within a telecommunications company to create decision support connected to enhancing business processes. The choice of industry and organization in this study is based on the fact that the industry is one of the most data-intensive industries. The thesis relates to previous research and theories. The previous research is used in order to understand the challenges as well as the benefits and future potential of the subject. The theories are used to understand various key factors such as information systems or the combination of business intelligence and Business Process Management. The result of the essay is created from semi-structured interviews with respondents who work within a telecommunications company and contribute to confirming the theory and answering the questions.Värdet av data växer i allt större utsträckning. Den ökade mängden tillgänglig data har möjliggjort för Business intelligence att ta stora kliv i utvecklingen. Organisationer nyttjar data i syfte att effektivisera delar av eller hela verksamheter. Business intelligence stödjer organisationer i hanteringen av data och för att skapa beslutsstöd. Business intelligence är dock ett brett ämne vilket kan påverkas av faktorer såsom Big Data eller Cloud computing (molntjänster) och kan tillämpas på olika sätt. Tidigare studier visar att endast ett fåtal organisationer har lyckats öka lönsamheten efter implementeringen av business intelligence. Denna studie syftar till att skapa en djupare förståelse kring hur business intelligence används inom ett telekommunikationsbolag för att skapa beslutsstöd kopplat till effektivisering av affärsprocesser. Valet av bransch och organisation baseras på att branschen är en av de mest dataintensiva branscherna. Uppsatsen förhåller sig till tidigare forskning och teorier. Den tidigare forskningen används i syfte att förstå utmaningar samt fördelar och framtida potential för ämnet. Teorierna används för att förstå olika nyckelfaktorer såsom informationssystem eller kombinationen av business intelligence och Business Process Management. Resultatet i uppsatsen är skapat från semistrukturerade intervjuer med personer vilka arbetar inom ett telekommunikationsbolag och bidrar med att bekräfta teorin samt besvara frågeställningen.
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VENKATESH, UMA DEVI. "QUALTITATIVE ANALYSIS OF BUSINESS INTELLIGENCE : BUSINESS INTELLIGENCE FOR IBM WITH SMARTER SELF-SERVICE ANALYTICS." Thesis, Högskolan i Halmstad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33524.
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Eggert, Sandy, and Juliane Meier. "Business Intelligence : Lösungen im Überblick." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4449/.
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Larsson, Karl. "Mobile Devices in Business Intelligence." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-14683.
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With mobile solutions becoming more requested in the IT world, Business Intelligence is no different. This thesis examines and tests the mobile solutions for Microsoft BI, QlikView and SAP Business Objects to see if it can be used by the Sandvik Group. The tests have consisted of creating standard simple reports for the different platforms, evaluate them and then compare their functions and looks on iPad and computers. During this work it has been stated that all platforms supports mobility quite well and the recommendation is to start using it as soon as possible.
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Barreto, David Guaspari. "Business Intelligence: comparação de ferramentas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2003. http://hdl.handle.net/10183/3865.
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Cada vez mais o tempo acaba sendo o diferencial de uma empresa para outra. As empresas, para serem bem sucedidas, precisam da informação certa, no momento certo e para as pessoas certas. Os dados outrora considerados importantes para a sobrevivência das empresas hoje precisam estar em formato de informações para serem utilizados. Essa é a função das ferramentas de “Business Intelligence”, cuja finalidade é modelar os dados para obter informações, de forma que diferencie as ações das empresas e essas consigam ser mais promissoras que as demais. “Business Intelligence” é um processo de coleta, análise e distribuição de dados para melhorar a decisão de negócios, que leva a informação a um número bem maior de usuários dentro da corporação. Existem vários tipos de ferramentas que se propõe a essa finalidade. Esse trabalho tem como objetivo comparar ferramentas através do estudo das técnicas de modelagem dimensional, fundamentais nos projetos de estruturas informacionais, suporte a “Data Warehouses”, “Data Marts”, “Data Mining” e outros, bem como o mercado, suas vantagens e desvantagens e a arquitetura tecnológica utilizada por estes produtos. Assim sendo, foram selecionados os conjuntos de ferramentas de “Business Intelligence” das empresas Microsoft Corporation e Oracle Corporation, visto as suas magnitudes no mundo da informática.
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Valério, Miguel Gomes Lage. "Dicoogle analytics for business intelligence." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17573.
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Mestrado em Engenharia de Computadores e TelemáticaAs últimas décadas têm sido caracterizadas pelo aumento do número de estudos imagiológicos produzidos, elementos fundamentais no diagnóstico e tratamento médico. Estes são armazenado em repositórios dedicados e são consumidos em estações de visualização que utilizam processos de comunicação normalizados. Os repositórios de imagem médica armazenam não só imagem médica, mas também uma grande variedade de metadados que têm bastante interesse em cenários de investigação clínica e em processos de auditoria que visam melhorar a qualidade de serviço prestado. Tendo em atenção a tremenda quantidade de estudos produzidos atualmente nas instituições de saúde, verificamos que os métodos convencionais são ineficientes na exploração desses dados, obrigando as instituições a recorrer a plataformas de Inteligência Empresarial e técnicas analíticas aplicadas. Neste contexto, esta dissertação teve como objetivo desenvolver uma plataforma que permite explorar todos os dados armazenados num repositório de imagem médica. A solução permite trabalhar em tempo real sobre os repositórios e não perturba os fluxos de trabalho instituídos. Em termos funcionais, oferece um conjunto de técnicas de análise estatística e de inteligência empresarial que estão acessíveis ao utilizador através de uma aplicação Web. Esta disponibiliza um extenso painel de visualização, gráficos e relatórios, que podem ser complementados com componentes de mineração de dados. O sistema permite ainda definir uma multitude de consultas, filtros e operandos através do uso de uma interface gráfica intuitiva.
In the last decades, the amount of medical imaging studies and associated metadata available has been rapidly increasing. These are mostly used to support medical diagnosis and treatment. Nonetheless, recent initiatives claim the usefulness of these studies to support research scenarios and to improve the medical institutions business practices. However, their continuous production, as well as the tremendous amount of associated data, make their analysis difficult by conventional workflows devised up until this point. Current medical imaging repositories contain not only the images themselves, but also a wide-range of valuable metadata. This creates an opportunity for the development of Business Intelligence and analytics techniques applied to this Big Data scenario. The exploration of such technologies has the potential of further increasing the efficiency and quality of the medical practice. This thesis developed a novel automated methodology to derive knowledge from multimodal medical imaging repositories that does not disrupt the regular medical practice. The developed methods enable the application of statistical analysis and business intelligence techniques directly on top of live institutional repositories. The resulting application is a Web-based solution that provides an extensive dashboard, including complete charting and reporting options, combined with data mining components. Furthermore, the system enables the operator to set a multitude of queries, filters and operands through the use of an intuitive graphical interface.
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Heang, Rasmey. "LITERATURE REVIEW OF BUSINESS INTELLIGENCE." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33506.
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Due to the rapid growth of new technologies, the Business Intelligence (BI) market is growing as well that forces the corporations to adopt their offerings to the needs of the customer. Adoption of Business Intelligence system has become one of the most important technological and organizational innovations in modern organization that promote knowledge diffusion, and cornerstone of business decision making processes. Since the way of BI integrated and implemented is quite different among organizations, it is important to approach BI literature by adaption of BI application and its implementation, BI architects, and enabling factors in BI projects. Furthermore, we are also going to discuss how technological capabilities such as user access, data quality and the integration of BI with other systems in the firm, as well as organizational capabilities such as flexibility and risk management support, are essential for BI success, regardless of the decision environment. Last but not least, this paper will also discuss how the idea of BI has been built on the school of thought. We expect that results could create the value and input for enterprises that plan to implement a BI application in their organization.
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Langmaier, Petr. "Business Intelligence v bankovním sektoru." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-4547.
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The main goal of this thesis is proposal and implementation of the support of decision making with help of Business Inteligence tools in bank environment for deparment of the risk management. The proposal include enlargement of the current used dimensions with new ones. Designed system should fully replace contemporary system and extend possibilities of obtaining informations from data resources and improve the quality of decision making. Designed system will be part of portfolio quality review of multiple business products. The next goal of this work is to analyse current trends in Business Inteligence and analyse the usage of BI in banking. Further analyse the support of BI from operative to strategic decision making. The goals are achieved on the basis of analyses accessible relevant electronic and printed resources, further from knowledge and experience of bank's analysts from deparment of the risk management and BI. Further from service documentation and further from my work experience in deparment of the risk management and from implementation of credit scoring projects. As the personal contribution of the author is possible to consider the demonstration of the usage of BI in bank risk management and at the same time the proposal of one possible way of solving implementation of the supports of decision making in bank's environment.
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Melichar, Jan. "Implementace Business Intelligence ve stavebnictví." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-161818.
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Diploma thesis is focused on the strategic performance management and Business Intelligence domain. Main objectives of the thesis are to define strategic goals of building enterprise by help of the Balanced Scorecard (BSC) concept and to assign specific metrics to these strategic goals. Another objective of this work is to design Business Intelligence (BI) implementation which means building a data warehouse upon company data, multidimensional cubes and user-defined reports. Initial theoretical principles are described in the first part of this work in which main issues of strategic performance management, BSC concept and BI domain are specified. In the practical part the strategic goals and specific metrics of building enterprise are defined. The output of this chapter is an overall strategic map containing strategic goals with assigned metrics and also comments describing mutual relationships of these goals. Next chapter deals with building a data warehouse upon company data, multidimensional cubes and user-defined reports with measured values interpretation. Contribution of the thesis consists in the enterprise management model upon BSC concept which helps specify strategic goals and also the design of BI implementation which should simplify monitoring of these strategic goals by the help of the metrics specified. Another contribution for building industry enterprise management can be an overview of main BI technologies and the ways and means of its practical application.
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Rusnák, Petr. "Plánovací aplikace v Business Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199701.
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The main goal of this thesis is to create a manual for planning application named Targetty appropriately so, for the academical purposes used at University of Economics, Prague and also to create a demo of this application for Vetrotech company. The goal is fulfilled through detailed analysis of the application and by describing its functionality via screenshots of the application and their description. The app demo is created on data model which was suggested for this purpose. This thesis can be divided into three main parts. The first part considers the issue of the enterprise planning by both the economical and the Business Intelligence points of view. The planning principles are demonstrated via examples and explained into detail. The second part is dedicated to analysis of the planning application called Targetty and in the last one a demo of application for Vetrotech company is created. This thesis proves that the planning application Targetty is a suitable application for small or medium companies. It also contains an application demo for Vetrotech company based on data model which may be used for creating a solution for any companies specializing in commercial industry.
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Náhlovský, Tomáš. "Business Intelligence v prostředí Cloudu." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-203999.
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This master thesis deals with Business Intelligence in Cloud computing environment and comparing some of available solutions, that are currently offered on the market. The theoretical part focuses on definition of Business Intelligence and Cloud computing terms and combination thereof, including a description of the components, functionalities and technologies that use. The theoretical part describes, among other, the current trends from the world of Business Intelligence. The practical part is then focused on comparing traditional approach to Business Intelligence solutions and solutions in the Cloud. It describes the components of the cloud and migration process from traditional solution to the Cloud. The practical part includes an analysis of the current market for Business Intelligence, selection of three providers based on analysis and a description of their solutions and evaluation of these tools. The basic objectives and benefits of this master thesis include a general definition of the concepts of BI and analysis of available solutions, including comparisons.
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Musil, Jiří. "Business intelligence v laboratorní firmě." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-204855.
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The main objective of this diploma thesis is the implementation of a pilot solution of Business intelligence in the laboratory company. This company is providing tests of samples of blood and urine. The diploma thesis is divided into two main parts. The first part contains theory. It describes the usage and components of the Business intelligence. Additionaly it describes the method Balanced scorecard and its usage in laboratory companies. The second part contains practical solution. At first there is a description of the company where is the solution implemented. In the next step the goals and metrics are determined on basis of the application of the method Balanced scorecard. The strategic map is created based on company goals. The last chapter contains a description of the implementation of the pilot solution and the description of created reports.
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Westerlund, Per. "Business Intelligence: Multidimensional Data Analysis." Thesis, Umeå universitet, Institutionen för datavetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138758.
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The relational database model is probably the most frequently used database model today. It has its strengths, but it doesn’t perform very well with complex queries and analysis of very large sets of data. As computers have grown more potent, resulting in the possibility to store very large data volumes, the need for efficient analysis and processing of such data sets has emerged. The concept of Online Analytical Processing (OLAP) was developed to meet this need. The main OLAP component is the data cube, which is a multidimensional database model that with various techniques has accomplished an incredible speed-up of analysing and processing large data sets. A concept that is advancing in modern computing industry is Business Intelligence (BI), which is fully dependent upon OLAP cubes. The term refers to a set of tools used for multidimensional data analysis, with the main purpose to facilitate decision making. This thesis looks into the concept of BI, focusing on the OLAP technology and date cubes. Two different approaches to cubes are examined and compared; Multidimensiona lOnline Analytical Processing (MOLAP) and Relational Online Analytical Processing (ROLAP). As a practical part of the thesis, a BI project was implemented for the consulting company Sogeti Sverige AB. The aim of the project was to implement a prototype for easy access to, and visualisation of their internal economical data. There was no easy way for the consultants to view their reported data, such as how many hours they have been working every week, so the prototype was intended to propose a possible method. Finally, a performance study was conducted, including a small scale experiment comparing the performance of ROLAP, MOLAP and querying against the data warehouse. The results of the experiment indicates that ROLAP is generally the better choice for data cubing.
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Lindahl, Alexander, and Joel Gustafsson. "Business Intelligence för små företag." Thesis, Uppsala universitet, Institutionen för informatik och media, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-386497.
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Globaliseringen av ekonomin har genererat globaliseringen av information som varje chef har att hantera snabbt och effektivt i beslutsprocessen. Små företag är mer sårbara för att ändra affärsvillkor än större konkurrenter. För att överleva i den instabila ekonomiska miljön där de är verksamma måste småföretag kunna monitorera sina affärer och använda alla sina resurser effektivt, särskilt informationsresurser. Under det senaste decenniet har användningen av business intelligence vuxit fram som ett måste för att inte tappa marknadsfördelar. Huvudsyftet med denna uppsats är att utvärdera hur business intelligence kan tas fram och implementeras i små företag. För att göra detta genomfördes ett design science research projekt där en IT- artefakt utvecklades med CRISP-DM som metod. Både IT-artefakten och metoden CRISP-DM utvärderas i uppsatsens analys. Arbetat mynnar ut i slutsatsen att CRISP-DM inte är lämpad som metod för denna typ av projekt. Slutligen kommer vi fram till de faktorer som härstammar från ett företags storlek som påverkar framtagningen av BI-system.
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Nilsson, Maria, and Erik Sellnäs. "Business Intelligence för den intelligenta organisationen : hur blir företag mer analytiska?" Thesis, Uppsala University, Department of Business Studies, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9022.
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De senaste årens utökade användning av IT har lett till att företag samlar in enorma mängder ostrukturerad data. För att kunna hantera detta har olika verktyg och tekniker utvecklats. Dessa verktyg samlas vanligtvis under benämningen Business Intelligence (BI) som kan sammanfattas med aktiviteterna ”hämta relevant information, analysera, finna en vinnande väg framåt, bedöma risk och formulera underlag för beslut”. Om företag är duktiga på att vara analytiska kan de vinna stora konkurrensfördelar gentemot sina konkurrenter. De tekniska förutsättningarna för analytiskt arbete har aldrig varit bättre, men för att lyckas måste företag på ett bra sätt kunna anpassa sig till de system de har. Syftet med denna studie är att undersöka om företag på den svenska marknaden är bra eller dåliga på att använda BI-system, om de är duktiga på att vara analytiska samt vad företagen behöver förändra för att bli bättre på detta. För att uppnå syftet har intervjuer utförts med återförsäljare av BI-system för att fånga deras bild av hur det ser ut idag och vad som kan förbättras. Våra slutsatser pekar på att företag på den svenska marknaden inte är bra på att använda sina BI-system. Det råder även stora brister när det gäller analytiskt arbete. För att åtgärda detta menar vi att företag måste säkerställa ledningens engagemang angående BI, bli bättre på att sprida information om BI, se till att insamlad data har god kvalitet samt tillförordna personer med huvudansvar för BI. De bör även se till att användarna har ett klart och tydligt mål med sin BI-användning, att de får utbildning på den information som finns i systemet, samt att de har förmågor som: kreativitet,analysförmåga, statistiska kunskaper och ett tekniskt kunnande om BI-systemet.
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El, Harbiti Deeb. "Web-based spreadsheets and Business Intelligence : Combining a web-based spreadsheet with Pentahos Business Intelligence." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-324998.
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Business Intelligence is becoming more and more an essential element for a company’s planning, development and consistency. A company usually aims to predict and optimize the outcome of different decisions. In order to do that, it requires a tool that can perform scenario analysis or “what if” – analysis. These analyses can be performed with spreadsheets and today with the tools within business analysis being web-based, the purpose of the project is to combine a web-based spreadsheet with an analysis from a BI server. The BI server provides sample data. Should a combination be possible then a continuing goal would be to connect the BI server with a database and in that way provide the spreadsheet with data to perform “what if” – analysis. The results indicated that a combination between the web-based spreadsheet and the BI server was possible. However, a few alterations of the spreadsheet are still necessary in order for the combination to work as desired. Further developments of the product involve managing to adapt it to smartphones and tablets.
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Kölbrant, Oskar. "Framgångsfaktorer för dashboard projekt inom business intelligence : Faktorer som bör uppmärksammas inom Business Intelligence projekt." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18650.
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Business Intelligence (BI) har blivit en stor byggsten för många företag och en viktig aspekt är att det implementeras rätt så att beslutsfattare kan ta del av data för att fatta faktabaserade beslut. Detta data behöver beslutsfattare och övriga i ledningen ha tillgång till och kunna förstå det utan problem. Ett sätt att undvika problematiken med data är att visualisera det i form av grafer för att ge en överblick och förenkla analysuppgiften i en dashboard. Att skapa dessa dashboards har genom tidigare forskning visat sig vara problematiskt genom att lösningen i slutet inte bidrar med den analytiska förmåga som önskas. För att kunna dra nytta av en dashboard krävs det att de skapas på ett korrekt sätt avseende användning och analysförmåga. Detta leder till att denna studie kommer besvara frågan: Vilka framgångsfaktorer finns för att framgångsrikt driva ett BI-projekt sett från en dashboardutvecklares perspektiv? För att undersöka problemet kommer en litteraturanalys utföras tillsammans med en fallstudie med intervjuer baserade på det som kommer från litteraturanalysen. Intervjun kommer undersöka vad frontend-utvecklare identifierar för framgångsfaktorer med implementation av dashboards. Resultatet som kom fram från studien och med hjälp av det insamlade materialet och utförd analys är en modell över de framgångsfaktorer som påverkar ett dashboard projekt. Resultatet framkom genom att analysera alla respondenters svar för att identifiera återkommande fraser och ord respondenterna nämnde. Dessa fraser och ord sammanställdes till en tabell som senare ledde vidare till den slutgiltiga resultat modellen.Business Intelligence (BI) has become a more important building block for many companies and an important aspect is that it is implemented correctly so that decision makers can make decisions based on facts rather than intuition. This data is needed for decision makers and other people in the management team and also be able to understand this data without any bigger issues. One way to avoid issues with the understanding of data is to visualize it into graphs to give a fast overview and to simplify analysis of data in a dashboard. To create said dashboards has been identified by earlies research to be problematic in the sense of the solution not contributing to the analytic capability that are desired. To be able to get any sort of benefit from the dashboard it is necessary that it is built correctly with usage and analysis in mind. This leads to the question that this study aims to answer: Which success factors contributes to successfully manage a BI-project as seen from a dashboard developers point of view? To investigate the issue a literature analysis together with a case study making use of interviews based on what is gathered from the literature analysis. The interviews will investigate the factors that dashboard developers has experienced themselves whilst implementing dashboards. The result from the study and with help from the data gathered via the interview and the analysis process a model could be formed showing the success factors that has an effect on dashboard oriented projects. The result came through by analyzing all of the answers from the respondents to identify reoccurring phrases and words that they mentioned. These phrases and words were put together into a table which eventually led to the finalized model.
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Kashora, Kudzai. "Leveraging mobile business intelligence to create strategic business value." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13218.
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Includes bibliographical references.Currently, there is a growing need for mobile Business Intelligence (BI) in the business world as the nature of work is changing and employees are more mobile than ever before. Mobile BI promises portability and pervasive access to BI, making it a topic high on many directors’ agendas; however the tangible and intangible benefits of mobile BI are still not well understood. Coupled with this, BI practitioners’ are sceptical about the real business value of delivering BI reports to mobile devices and how this undertaking can bring about organizational changes in the long run. As the field of mobile BI is still in its infancy, there is a lack of research which addresses the business value of mobile BI. The existing studies in this research area have been focused on adoption and implementation strategies. This study therefore attempts to address the gap by investigating how mobile BI can be utilised to enhance organizational performance and also contribute towards strategic business value. In light of this, an extensive literature review was conducted which revealed that mobile BI usage can result in benefits, such as improved employee performance management, organizational agility and customer satisfaction. A conceptual model was developed based on the literature and this model acted as the framework for investigating the research problem.
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Dulgher, Mustafa Ludmila. "REALTIDS BUSINESS INTELLIGENCE : Förändring av Besluts- och Affärsprocessen vid Införandet av en Realtids Business Intelligence System." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9486.
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Business Intelligence och realtids Business Intelligence har blivit ett område som allt fler företag intresseras av. Forskningen idag involverar en rad företag som koncentrerar sig på stora kund-, produkt- och tjänstevolymer. Ett av dessa företag är flygbolaget Continental Airlines. Detta bolag har funnit sju faktorer som bör beaktas då en realtids BI-lösning ska anammas. Detta arbete kommer att lägga fokus på en av dessa faktorer. Denna faktor säger att realtids BI endast levererar något värde om besluts- och affärsprocessen ändras i enlighet med den IT-lösning som införs i företaget. Under denna studie kommer det att undersökas hur denna faktor fungerar i mindre organisationer. Behöver mindre organisationer ändra sina processer vid införandet av en realtids BI-lösning och i så fall i vilken utsträckning ska dessa ändras. Det här projektet innebär ett samarbete med Svenska Kyrkan i Lidköping som utgör den mikromiljö som den ovan nämnda faktorn kommer att testas på, samt iP1 Networks AB som har utvecklat realtids BI-lösningen Svenska Kyrkan i Lidköping är intresserade av.
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Novello, Alessia <1992>. "I sistemi di Business Intelligence. Come implementare efficacemente un Business Intelligence software in L.I.C.AR. International Spa." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/9110.
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L'evoluzione dei mercati, ormai diventati globali, nei quali le imprese operano ha comportato il cambiamento della conoscenza necessaria al management durante il processo decisionale, al fine di ottenere e mantenere i vantaggi competitivi. A supporto del processo decisionale si ritrovano i sistemi informativi aziendali, i quali vengono solitamente suddivisi secondo la tipologia di conoscenza che essi forniscono alle varie figure aziendali coinvolte: i sistemi operazionali, che presentano la situazione attuale dell'azienda e accompagnano le attività operative di routine, ed i sistemi informazionali, capaci di elaborare una grande quantità di dati al fine presentare il trend seguito dall'impresa lungo un arco temporale di medio-lungo termine.
Nel presente lavoro vengono approfonditi i sistemi informazionali, data la loro rilevanza all'interno del processo decisionale di tipo strategico seguito dal top management, e la loro evoluzione sino agli attuali sistemi di Business Intelligence.
L'analisi di quest'ultima soluzione viene avvalorata dalla presentazione di un caso aziendale di implementazione di un software di BI, così da far comprendere al meglio l'importanza e le caratteristiche di tale strumento.
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Sangupamba, Mwilu Odette. "De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1168/document.
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La BI et le cloud computing sont deux grands sujets de recherche en informatique et en système d’information en particulier. Une recherche combinant ces deux concepts est d'un intérêt double : D’une part, dans les entreprises, la BI devient de plus en plus une partie importante du système d'information qui nécessite des investissements en termes de performances de calcul et des volumes de données. D’autre part, le cloud computing offre de nouvelles opportunités pour gérer les données à des fins d’analyse.Etant donné les possibilités de cloud, la question de la migration de l'ensemble du système d’information y compris la BI est d'un grand intérêt. En particulier, les chercheurs doivent fournir aux professionnels des modèles et des méthodes qui puissent les aider à migrer vers le cloud.Que faire pour que la BI puisse fournir aux managers un service de mise à disposition de données d’analyse au travers du cloud ? La question de recherche est : Comment aider les organisations à migrer leur BI vers le cloud ?Dans cette thèse, nous répondons à cette question en utilisant l'approche science de conception (design science). Nous mettons en place une aide à la décision de la migration de la BI vers le cloud qui s'appuie sur les taxonomies. Nous proposons un modèle de guidage opérationnel qui est instancié par une taxonomie de la BI dans le cloud et dont découlent les règles pour la migration de la BI vers le cloudBI and cloud computing are two major areas of computer science research and in particular in information system. A research combining these two concepts has a double interest : On the one hand, in business, the BI becomes increasingly an important part of the information system which requires investment in terms of computing performance and data volumes. On the other hand, cloud computing offers new opportunities to manage data for analysis.Given the possibilities of cloud, migration question of the information system including BI is of great interest. In particular, researchers must provide models and methods to help professional in BI migration to the cloud.The research question is : how to migrate BI to the cloud?In this thesis, we address this issue using design science research approach. We implement a decision-making help for BI migration to the cloud based on taxonomies. We provide an operational guidance model that is instantiated by a BI taxonomy in the cloud and from that rules for BI migration to the cloud are arised
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Sangupamba, Mwilu Odette. "De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques." Electronic Thesis or Diss., Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1168.
Full textAbstract:
La BI et le cloud computing sont deux grands sujets de recherche en informatique et en système d’information en particulier. Une recherche combinant ces deux concepts est d'un intérêt double : D’une part, dans les entreprises, la BI devient de plus en plus une partie importante du système d'information qui nécessite des investissements en termes de performances de calcul et des volumes de données. D’autre part, le cloud computing offre de nouvelles opportunités pour gérer les données à des fins d’analyse.Etant donné les possibilités de cloud, la question de la migration de l'ensemble du système d’information y compris la BI est d'un grand intérêt. En particulier, les chercheurs doivent fournir aux professionnels des modèles et des méthodes qui puissent les aider à migrer vers le cloud.Que faire pour que la BI puisse fournir aux managers un service de mise à disposition de données d’analyse au travers du cloud ? La question de recherche est : Comment aider les organisations à migrer leur BI vers le cloud ?Dans cette thèse, nous répondons à cette question en utilisant l'approche science de conception (design science). Nous mettons en place une aide à la décision de la migration de la BI vers le cloud qui s'appuie sur les taxonomies. Nous proposons un modèle de guidage opérationnel qui est instancié par une taxonomie de la BI dans le cloud et dont découlent les règles pour la migration de la BI vers le cloudBI and cloud computing are two major areas of computer science research and in particular in information system. A research combining these two concepts has a double interest : On the one hand, in business, the BI becomes increasingly an important part of the information system which requires investment in terms of computing performance and data volumes. On the other hand, cloud computing offers new opportunities to manage data for analysis.Given the possibilities of cloud, migration question of the information system including BI is of great interest. In particular, researchers must provide models and methods to help professional in BI migration to the cloud.The research question is : how to migrate BI to the cloud?In this thesis, we address this issue using design science research approach. We implement a decision-making help for BI migration to the cloud based on taxonomies. We provide an operational guidance model that is instantiated by a BI taxonomy in the cloud and from that rules for BI migration to the cloud are arised