Relevant bibliographies by topics / Dashboard

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Dashboard'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 January 2025

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Journal articles on the topic "Dashboard"

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Jiang, Liuyue, Nguyen Khoi Tran, and Muhammad Ali Babar. "Mod2Dash: A Framework for Model-Driven Dashboards Generation." Proceedings of the ACM on Human-Computer Interaction 6, EICS (June 14, 2022): 1–28. http://dx.doi.org/10.1145/3534526.

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The construction of an interactive dashboard involves deciding on what information to present and how to display it and implementing those design decisions to create an operational dashboard. Traditionally, a dashboard's design is implied in the deployed dashboard rather captured explicitly as a digital artifact, preventing it from being backed up, version-controlled, and shared. Moreover, practitioners have to implement this implicit design manually by coding or configuring it on a dashboard platform. This paper proposes Mod2Dash, a software framework that enables practitioners to capture their dashboard designs as models and generate operational dashboards automatically from these models. The framework also provides a GUI-driven customization approach for practitioners to fine-tune the auto-generated dashboards and update their models. With these abilities, Mod2Dash enables practitioners to rapidly prototype and deploy dashboards for both operational and research purposes. We evaluated the framework's effectiveness in a case study on cyber security visualization for decision support. A proof-of-concept of Mod2Dash was employed to model and reconstruct 31 diverse real-world cyber security dashboards. A human-assisted comparison between the Mod2Dash-generated dashboards and the baseline dashboards shows a close matching, indicating the framework's effectiveness for real-world scenarios.
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Wang, Han, Tao Huang, Yuan Zhao, and Shengze Hu. "The Impact of Dashboard Feedback Type on Learning Effectiveness, Focusing on Learner Differences." Sustainability 15, no. 5 (March 2, 2023): 4474. http://dx.doi.org/10.3390/su15054474.

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With the exponential growth of educational data, increasing attention has been given to student learning supported by learning analytics dashboards. Related research has indicated that dashboards relying on descriptive analytics are deficient compared to more advanced analytics. However, there is a lack of empirical data to demonstrate the performance and differences between different types of analytics in dashboards. To investigate these, the study used a controlled, between-groups experimental method to compare the effects of descriptive and prescriptive dashboards on learning outcomes. Based on the learning analytics results, the descriptive dashboard describes the learning state and the prescriptive dashboard provides suggestions for learning paths. The results show that both descriptive and prescriptive dashboards can effectively promote students’ cognitive development. The advantage of prescriptive dashboard over descriptive dashboard is its promotion in learners’ learning strategies. In addition, learners’ prior knowledge and learning strategies determine the extent of the impact of dashboard feedback on learning outcomes.
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Vázquez-Ingelmo, Andrea, Francisco José García-Peñalvo, Roberto Therón, and Miguel Ángel Conde. "Representing Data Visualization Goals and Tasks through Meta-Modeling to Tailor Information Dashboards." Applied Sciences 10, no. 7 (March 27, 2020): 2306. http://dx.doi.org/10.3390/app10072306.

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Information dashboards are everywhere. They support knowledge discovery in a huge variety of contexts and domains. Although powerful, these tools can be complex, not only for the end-users but also for developers and designers. Information dashboards encode complex datasets into different visual marks to ease knowledge discovery. Choosing a wrong design could compromise the entire dashboard’s effectiveness, selecting the appropriate encoding or configuration for each potential context, user, or data domain is a crucial task. For these reasons, there is a necessity to automatize the recommendation of visualizations and dashboard configurations to deliver tools adapted to their context. Recommendations can be based on different aspects, such as user characteristics, the data domain, or the goals and tasks that will be achieved or carried out through the visualizations. This work presents a dashboard meta-model that abstracts all these factors and the integration of a visualization task taxonomy to account for the different actions that can be performed with information dashboards. This meta-model has been used to design a domain specific language to specify dashboards requirements in a structured way. The ultimate goal is to obtain a dashboard generation pipeline to deliver dashboards adapted to any context, such as the educational context, in which a lot of data are generated, and there are several actors involved (students, teachers, managers, etc.) that would want to reach different insights regarding their learning performance or learning methodologies.
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Opiyo, Stephen Obol, Racheal Nalunkuma, Stella Maris Nanyonga, Nathan Mugenyi, and Andrew Marvin Kanyike. "Empowering Global AMR Research Community: Interactive GIS dashboards for AMR data analysis and informed decision-making." Wellcome Open Research 9 (January 14, 2025): 234. https://doi.org/10.12688/wellcomeopenres.21010.3.

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Background Antimicrobial Resistance (AMR) poses a global public health challenge, necessitating advanced tools to support data analysis, and visualization. This study introduces interactive Geographic Information System (GIS) dashboards as innovative platforms for AMR data analysis and visualization, offering comprehensive insights into resistance patterns, and geographic distribution across multiple countries, with a specific focus on Africa. Methods Three GIS dashboards were developed to address key objectives. The first integrates over 860,000 ATLAS data points from 83 countries, providing an interactive platform. Users can filter data by variables such as country, year, and region, enhancing data accessibility and visualization. The second dashboard focuses on the ATLAS dataset for Kenya and Uganda, incorporating detailed variables such as species, sample sources, and resistance phenotypes. The third involves Kampala, Uganda, to fill data gaps, enabling localized analyses through interactive features like geographic mapping and sample breakdowns by year. Results The dashboards demonstrated significant utility in visualizing and analyzing AMR data. The global dashboard effectively highlighted geographical trends and exposed critical data gaps, such as the scarcity of AMR records from Africa. The Kenya and Uganda dashboard revealed alarming resistance patterns, including the ineffectiveness of Ceftriaxone, Erythromycin, Levofloxacin, and Ampicillin in combating E. coli isolates. Notably, the Kampala-specific dashboard utilized simulated data to illustrate the potential of this tool for in-depth regional analysis of antibiotic resistance. This simulation showcased the dashboard's capability to incorporate real-time filtering, provide detailed insights into sample sources, and track trends. Across all dashboards, the interactivity significantly streamlined the identification of key trends, simplifying data interpretation for diverse users and supporting informed decision-making processes. Conclusions Interactive GIS dashboards offer a more effective alternative to spreadsheets for AMR data analysis. While spreadsheets provide a basic structure for organizing and managing data, dashboards deliver dynamic, user-friendly interfaces that enable advanced visualization, real-time updates, and intuitive data exploration. Dashboards also enhance accessibility and communication by presenting complex datasets in a more interactive and visually engaging format, making them more efficient for analyzing and interpreting AMR data.
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Perry, Laura M., Nisha A. Mohindra, Ava Coughlin, Katy Bedjeti, Cynthia Barnard, Sofia F. Garcia, Devin Peipert, et al. "Implementation of patient-reported outcome dashboards within the electronic health record to support shared decision-making in serious chronic illness." BMJ Open Quality 14, no. 1 (January 2025): e002837. https://doi.org/10.1136/bmjoq-2024-002837.

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BackgroundAttending to patient-reported outcomes (PROs) using data visualisation dashboards could enhance shared decision-making (SDM) and care delivery for serious chronic illnesses. However, few studies have evaluated real-world strategies and resulting implementation outcomes of PRO dashboards.MethodFrom June 2020 to January 2022, we implemented an electronic health record (EHR)-integrated PRO dashboard for advanced cancer and chronic kidney disease. Based on implementation science guidelines (eg, Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies, Reach, Effectiveness, Adoption, Implementation, Maintenance), we monitored use and captured adaptations in implementation strategies. Clinicians (n=7) and patients (n=30) responded to a 6-month survey that included appropriateness, acceptability, adoption and sustainability.ResultsOut of 1450 eligible patients, 748 (52%) completed at least one PRO invitation (reach). 37% of PRO questionnaire invitations (1421/3882) were completed (fidelity to PRO completion), with higher rates occurring when more implementation strategies were adopted. Among completed postvisit surveys from patients, 57% indicated that the dashboard was discussed at an eligible visit (fidelity to dashboard use). In the 6-month survey, patients endorsed the dashboard’s acceptability and appropriateness: 77% felt it frequently provided clear information and 63% felt it frequently met their needs. Most patients (77%) and clinicians (86%) valued the dashboard for increasing SDM, and 57% of clinicians endorsed the dashboard’s clinical sustainability.DiscussionThis pilot study demonstrated the clinical appropriateness, acceptability and feasibility of implementing an EHR-integrated PRO dashboard for advanced cancer and chronic kidney disease. Results also point to areas for improvement, including strategies to further support patient and clinician engagement, PRO completion and sustainability in real-world implementation.
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van Leeuwen, Anouschka, Carolien A. N. Knoop-van Campen, Inge Molenaar, and Nikol Rummel. "How Teacher Characteristics Relate to How Teachers Use Dashboards: Results From Two Case Studies in K-12." Journal of Learning Analytics 8, no. 2 (September 3, 2021): 6–21. http://dx.doi.org/10.18608/jla.2021.7325.

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Teacher dashboards are a specific form of analytics in which visual displays provide teachers with information about their students; for example, concerning student progress and performance on tasks during lessons or lectures. In the present paper, we focus on the role of teacher dashboards in the context of teacher decision-making in K–12 education. There is large variation in teacher dashboard use in the classroom, which could be explained by teacher characteristics. Therefore, we investigate the role of teacher characteristics — such as experience, age, gender, and self-efficacy — in how teachers use dashboards. More specifically, we present two case studies to understand how diversity in teacher dashboard use is related to teacher characteristics. Surprisingly, in both case studies, teacher characteristics were not associated with dashboard use. Based on our findings, we propose an initial framework to understand what contributes to diversity of dashboard use. This framework might support future research to attribute diversity in dashboard use. This paper should be seen as a first step in examining the role of teacher characteristics in dashboard use in K–12 education.
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Bennett, Liz, and Sue Folley. "Dashboard literacy." Proceedings of the International Conference on Networked Learning 11 (May 14, 2018): 417–24. http://dx.doi.org/10.54337/nlc.v11.8793.

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Dashboards are the graphical interface that manipulate and present data about students’ learning behaviours (attendance, visits to the library, attainment etc.). Although only a few UK HEIs have developed a dashboard for students, most other UK HEIs have an aspiration to develop their use (Sclater 2014). Hence it is timely and significant to understand the ways that students respond to seeing data presented to them in the form of a dashboard. This paper discusses and conceptualises the findings from a small scale study, funded by Society for Research in Higher Education. The study involved twenty-four final year undergraduate students in a single faculty in a UK University. The study focussed on the ways that students interpret and respond to seeing data about their learning presented via a dashboard. Sutton’s (2012) three pillars of feedback literacy: knowing, becoming and acting, were employed to understand the potential of dashboards for supporting students’ motivation towards their learning. The paper suggests that, similar to feedback literacy, there is a type of literacy associated with dashboards that has components of knowing, becoming and acting and that employing these concepts helps us to understand how students’ respond to dashboards. By identifying students' engagement with dashboards as a literacy practice rather than a technical skill or understanding, the paper argues that we need to focus on students' growing identity that is embedded into a sense of being and is individually experienced and constructed. Hence the notion of dashboard literacy suggests that institutions need to work with students to develop their personal and reflective processes to enhance the way that dashboards are interpreted. The paper provides evidence that students may be motivated by seeing their data presented in a dashboard format and this can lead to changes in behaviour which are likely to lead to improved student outcomes and attainment. It also illustrates how students’ engagement with dashboards is highly individual and dependent on their personal disposition and orientation to learning. Hence their use needs to be treated cautiously recognising the power that these tools have to shape impact on students' well-being alongside their potential.
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Siette, Joyce, Laura Dodds, Fariba Sharifi, Amy Nguyen, Melissa Baysari, Karla Seaman, Magdalena Raban, Nasir Wabe, and Johanna Westbrook. "Usability and Acceptability of Clinical Dashboards in Aged Care: Systematic Review." JMIR Aging 6 (June 19, 2023): e42274. http://dx.doi.org/10.2196/42274.

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Background The use of clinical dashboards in aged care systems to support performance review and improve outcomes for older adults receiving care is increasing. Objective Our aim was to explore evidence from studies of the acceptability and usability of clinical dashboards including their visual features and functionalities in aged care settings. Methods A systematic review was conducted using 5 databases (MEDLINE, Embase, PsycINFO, Cochrane Library, and CINAHL) from inception to April 2022. Studies were included in the review if they were conducted in aged care environments (home-based community care, retirement villages, and long-term care) and reported a usability or acceptability evaluation of a clinical dashboard for use in aged care environments, including specific dashboard visual features (eg, a qualitative summary of individual user experience or metrics from a usability scale). Two researchers independently reviewed the articles and extracted the data. Data synthesis was performed via narrative review, and the risk of bias was measured using the Mixed Methods Appraisal Tool. Results In total, 14 articles reporting on 12 dashboards were included. The quality of the articles varied. There was considerable heterogeneity in implementation setting (home care 8/14, 57%), dashboard user groups (health professionals 9/14, 64%), and sample size (range 3-292). Dashboard features included a visual representation of information (eg, medical condition prevalence), analytic capability (eg, predictive), and others (eg, stakeholder communication). Dashboard usability was mixed (4 dashboards rated as high), and dashboard acceptability was high for 9 dashboards. Most users considered dashboards to be informative, relevant, and functional, highlighting the use and intention of using this resource in the future. Dashboards that had the presence of one or more of these features (bar charts, radio buttons, checkboxes or other symbols, interactive displays, and reporting capabilities) were found to be highly acceptable. Conclusions A comprehensive summary of clinical dashboards used in aged care is provided to inform future dashboard development, testing, and implementation. Further research is required to optimize visualization features, usability, and acceptability of dashboards in aged care.
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Chowdhury, Tania Ahmed, Mohammad Jahangir Alam, and Md Irfan Hossain. "Factors Influencing User Satisfaction While Using Health Dashboard in Asia: A Rapid Review of the Evidence." American Journal of Multidisciplinary Research and Innovation 3, no. 6 (November 20, 2024): 30–36. http://dx.doi.org/10.54536/ajmri.v3i6.3811.

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Despite having many dashboards to display large-scale real-time data in this big data era, there is a shortage of user-friendly dashboards in Asian countries, indicating the importance of examining the factors that make a dashboard effective. This literature gap in dashboard usage has created the ground for this rapid review. This study followed a Google Scholar and PubMed search for a rapid review of 8 health-related dashboard articles taken from 33 articles following the step-by-step screening process, where some critical exclusion and inclusion criteria were maintained. The first finding of this study is that there are a few relevant articles available in Asian countries that match the inclusion criteria of the study focusing on usability and user satisfaction while using health-related dashboards. The second finding is that user satisfaction is one of the essential components for any effective health-related dashboard. The third finding considers easy-to-use, relevant, and accurate content, the right object to display data, an interactive dashboard, increased work efficiency, simplicity, patient care, and data quality as the factors of a user-friendly health-related dashboard. Finally, this study revealed that the dashboard on the web and different access levels have better usability.
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Peer, Firaz, and Carl DiSalvo. "The Work of Infrastructural Bricoleurs in Building Civic Data Dashboards." Proceedings of the ACM on Human-Computer Interaction 6, CSCW1 (March 30, 2022): 1–25. http://dx.doi.org/10.1145/3512971.

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The Historic Westside Universities Alliance Data Dashboard was created to meet the data equity needs of a group of resource-constrained communities in the Westside neighborhoods of Atlanta. We observed the development of this dashboard by participating as ethnographers and developers of its public safety module. Our ethnography and subsequent situational analysis of the dashboard's infrastructuring process led us to the work that individual stakeholders do in bringing such a dashboard to fruition. These stakeholders, whom we call infrastructural bricoleurs, operate through principles of situated knowledge, partial perspectives, limited power, and located accountability. Our analysis, which builds on concepts of infrastructures, bricolage, and feminist principles of technology design, helps us add further specificity to the work that infrastructural bricoleurs need to do when building civic data dashboards with resource constrained communities. Our findings benefit other researchers studying data infrastructures as well as administrators and practitioners within programs like DSSG (Data Science for Social Good) who are interested in building data infrastructures under similar constraints.
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Dissertations / Theses on the topic "Dashboard"

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Andersson, Robin, and Simon Franzén. "Realtidsuppdaterad dashboard." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-61381.

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Denna rapport kommer täcka utvecklingen av en Realtidsuppdaterad Dashboardför Flex Applications. Dashboarden kan ses som en interaktiv anslagstavla,ochär en ny moduli Flex Applications befintliga personaladministrationssystem. Under utvecklingen haräven en fördjupning inom ämnet informationsöverbelastninggjorts, då detta har relevans till designen av gränssnittet. Resultatet av detta visar på att det inte finns en given lösning utan snarare riktlinjer för hur designen bör se ut. Applikationen som skrevs till Dashboarden skapades med hjälp av språket TypeScript samt ramverket Angular 2. Applikationen skrevs först självständigt, avskiljt från Flex redan befintliga system.Dettaför att få en förståelse för hur TypeScript och Angular 2ska hanteras, och ävendärför att behovet av en direkt koppling till systemet ej behövdes från start. Applikationen kopplades sedansamman med det befintliga systemet för att kunna visualisera faktisk data. Detta blev lyckat och visade på att den valda systemdesignen fungerade som tänkt.
This report will be covering the creation of the Realtime-Updated Dashboard, made for Flex Applications. The Dashboard, which could be seen as an interactive pinboard, is a new product which will be implemented in Flex Applications existing system for employee administration. A deep-dive into the subject of information overload was also made during thedevelopment of the application. This was later used to question the design choices made. The results of this showed that there is no one correct way of designing an interface, but rather guidelines to help in certain situations. The application was written in the TypeScript language together with the framework Angular 2. The application was at first developed as a stand-alone project as there was no need for it to be integrated into the existing system from the start. This also gave a more relaxed environment while learning TypeScript and Angular2. The application was later integrated with the existing system. This integration was seen as a success as the handling of the data from the database worked as expected.
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Wagnberg, Michael, and Peter Danielsson. "Internal Dashboard." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-77676.

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This project is about creating a Dashboard with suitable data models containing support ticket statistics for the company Sigma IT Consulting. The work flow used by Sigma today is to manually log in to the system to see the support ticket statistics, which can be a tedious and time consuming process. Furthermore, Sigma do not have any monitoring system for checking the health of their web application services. They have a need for an internal Dashboard containing this information with regularly updates. Our solution is to design suitable data models and implement them within a Dashboard application.
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Počatko, Boris. "Dynamický definovatelný dashboard." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236436.

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This thesis deals with the design and implementation of a dynamic user-definable dashboard. The user will be able to define conditions dynamically, which will filter out and save only the data he needs. The application will support the changing of the condition definitions and the display of the graphs after they were created. The current implementations available on the internet are usually solutions designed to fit only one type of project and are not designed to meet general guidelines for a dashboard. The dashboard is designed for a smooth cooperation with high load databases and therefore not to slow down the whole solution.
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Hodinka, Pavel. "Analýza možností řešení výběru reportingových nástrojů." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-124735.

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The diploma thesis deals with the selection of tools used for reporting and managerial output for a telecommunications company that, with respect to the volume of its activities, falls into the category of small and medium-sized enterprises. The theoretical part of the thesis focuses on general issues of Business Intelligence, on finding and combining recommendations for high-quality reporting and output, and on the method of choosing the right option meeting the necessary requirements from a wide selection. The practical part describes the reasons that led a specific company to the need for reporting tools. It summarizes the company's needs and analyzes the market of potential products. This part is concluded with a selection procedure that, using the created criteria, assesses individual products and attempts to find the best solution. This thesis is based on theoretical knowledge acquired during studies, as well as practical experience and consultations with experts in reporting. It can also serve to summarize requirements and to find options for companies looking for optimal reporting and output tools.
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Haglund, Carl, Gustaf Söderholm, Jonathan Wase, Mustafa Al-Hashimi, My Norsbo, Oskar Skoglund, and Simon Wrede. "Dashboard för kirurgiska avdelningar." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158085.

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Detta är en kandidatrapport utfärdad av sju studenter i kursen Kandidatprojekt i programvaruutveckling, TDDD96, på Linköpings universitet. Rapporten innefattar en sammanfattning av det arbete som har utförts i detta projekt. Slutprodukten resulterade i en dashboard som underlättar planeringen kring operationssalar för Region Östergötland. Produkten är en webbapplikation utvecklad i ramverket Angular. Utöver arbetet besvaras vad för värde som skapas för kunden, vilka intressanta erfarenheter, vad för stöd ges av en systemanatomi och hur ett planeringsverktyg som Asana underlättar, i ett mjukvaruprojekt. Slutsatserna av rapporten förklarar att produkten är redo att ersätta befintliga system hos kunden, samt med stor sannolikhet kommer att förbättra arbetsförhållanden för personalen hos kunden. Erfarenheter, som att arbeta i grupp och tekniska kunskaper kring webbutveckling, har införskaffats under projektets gång. En systemanatomi konstaterades att ha en positiv påverkan på projektet, genom att ge en bättre överblick och underlättade uppdelningen vid parallellutveckling. Slutsatsen av att använda ett planeringsverktyg visar att det har varit till stor hjälp under utvecklingen, främst för att fördela arbete som ska göras mellan gruppmedlemmarna och utvärdera vad som har gjorts. Planeringsverktyget ser också till att inget dubbelt arbete sker. I rapporten finns också individuella delar skrivna av gruppmedlemmarna, dessa innehåller djupgående analyser av olika ämnen.
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Reinking, Jeffrey. "The Diffusion of Digital Dashboards: An Examination of Dashboard Utilization and the Managerial Decision Environment." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6018.

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This dissertation consists of three related studies examining the diffusion of digital dashboard technology throughout today's organizations. Dashboards, once reserved for the executive level, are now available to managers at the lower levels of the organization. For these managers, dashboards have become an integral part of their work life to support their decision environment, to provide consistency in measures, to monitor performance, and to communicate information throughout the organization. Prior research in the practice literature has shown that dashboards improve managerial performance and organizational performance as well as communicate organizational goals and objectives; however, empirical research has not been conducted in this area to confirm this anecdotal evidence. Using three theories, the phenomenon surrounding the diffusion of dashboards to the lower levels of the organization are examined based on 1) dashboards as a source of interactive management control and strategy alignment, 2) the impact of dashboard quality on strategy alignment, decision environment, and performance, and 3) the impacts on dashboard utilization from the antecedents of information content and task uncertainty and the consequences of user satisfaction and managerial performance. The first study investigates why dashboards have been diffused to the lowers levels of today's organizations. The primary focus of this study is to develop an understanding about the extent of dashboard utilization by decision-makers and the antecedents and consequences of utilization that is responsible for the widespread acceptance of this technology. The data for this study is collected and analyzed through an explanatory cross-sectional field study utilizing a semi-structured questionnaire. Using data from interviews with 27 managers, a framework is developed that indicates strategy alignment and dashboards associated with interactive management control are the primary antecedents that drive dashboard diffusion. The dimensions of dashboard system quality and dashboard information quality mediate the relationship between an interactive dashboard and the extent of dashboard utilization, which leads to higher levels of managerial performance and organizational performance. This study contributes to the dashboard, strategy, and MCS literature by revealing that dashboards are not isolated technologies, rather they play an important role in the execution of strategy at the operational levels of an organization. In addition, dashboards can also function as an interactive management control, which leads to high levels of diffusion of dashboards throughout organizations. Prior strategy literature has examined strategy alignment at the higher levels and this study extends this research stream by investigating strategy alignment at the lower operational levels of the organization. The second study utilizes the IS Success Model to explore the impacts of the antecedents of dashboard system quality and dashboard information quality on the managerial decision environment in addition to the resulting consequences or 'net benefit' of managerial performance and organizational performance. A field survey is used to collect data from 391 dashboard using managers to enable the analysis of the relationships predicted in the theoretical model. The theoretical model is analyzed utilizing PLS. The results show that two dimensions of dashboard quality, system flexibility and information currency, have a positive effect the managerial decision environment. The model indicates support for the consequences of managerial performance and organizational performance resulting from higher levels of decision quality in the managerial decision environment. The model also reveals that when the dashboard measures are strategy aligned, lower levels of dashboard system flexibility are associated with improved managerial decision environment. Therefore, when organizations design their dashboard systems to support strategy alignment, managers should not be afforded high levels of system flexibility to maintain their attention on the key performance indicators selected to align with strategy. This result is a primary contribution to the strategy literature that reveals that strategy aligned dashboards are more effective in environments where the dashboard flexibility is lower. Additionally, study two also extends the strategy literature by examining strategy alignment at the lower levels of the organization, since prior research has concentrated on the higher level strategic outcomes. As dashboards become highly diffused and more managers utilize the technology, the likelihood that dashboard designers cannot provide dashboard content that fits the tasks performed by managers is higher. The third study investigates this fit between dashboard information content and task uncertainty to understand if the fit between the technology and task impacts the extent of dashboard utilization by managers based on the theory of task-technology fit (TTF). TTF predicts higher levels of utilization will increase user satisfaction and managerial performance. Data is collected from 391 managers that utilize dashboards in their weekly work life to analyze the relationships predicted in the theoretical model. PLS is utilized to analyze the theoretical model and indicates weak support of TTF impacting the extent of dashboard utilization. The model supports the hypotheses for the links between the extent of dashboard utilization and user satisfaction and managerial performance. Based on the weak findings from this theoretical model, a second model is developed and analyzed. The second model measures TTF through the mediation of task uncertainty between dashboard information content and the extent of dashboard utilization, while the first model measured TTF through interacting task uncertainty and dashboard information content. The results of the second model show strong support that TTF, as measured through mediation, increases the extent of dashboard utilization. This study contributes to the literature by empirically showing that more extensive levels of dashboard utilization are achieved through the antecedent of TTF, resulting in increased managerial satisfaction and managerial performance.
Ph.D.
Doctorate
Dean's Office, Business Administration
Business Administration
Business Administration; Accounting
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Forsgren, Martin. "Designing a Risk Manager Dashboard." Thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-104357.

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This thesis explores the design of a dashboard interface viewing financial data, specifically clearinghouse data relevant for getting an overview of the current risk situation. The target user is a risk manager at a clearinghouse. The design is based on available research and guidelines on graphical perception, information visualization and dashboard design. The design process is described from the initial problem analysis to prototyping and testing. The resulting design concept is presented with sketches and motivations of the choices made. The thesis was conducted in cooperation with Cinnober Financial Technology, a provider of software and services for trading and clearing.
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Cain, Brian. "Development of the ANCOR Dashboard." Kansas State University, 2014. http://hdl.handle.net/2097/17406.

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Master of Science
Department of Computing and Information Sciences
Xinming (Simon) Ou
In this paper I present ANCOR Dashboard, a front end web framework that interfaces with ANCOR. ANCOR Dashboard aims to provide ANCORs users with an easy to use front end interface for accomplishing various use-cases against the ANCOR framework. ANCOR Dashboard was developed mainly in AngularJS, a lightweight JavaScript framework. This dashboard is able to accomplish everything that the ANCOR Command Line Interface, or ANCOR-CLI, is able to do. This framework also needed to provide some information about the state of the system through various data gathered from ANCOR in a human readable format. Not only should it be able to inform the user about the state of ANCOR but it needs to be able to perform operations against ANCOR just like the command line interface can do.This report documents the design and implementation of ANCOR Dashboard. It will detail the necessary background of the project, and overview of the framework, and discus- sion of implementation and component breakdown. I will also provide an evaluation of the dashboard and a discussion about future work with ANCOR Dashboard.
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Korhonen, M. (Mikko), H. (Henri) Koski, and A. (Aku) Visuri. "AWARE-WS:a multipurpose science dashboard." Bachelor's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201503211187.

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AWARE is a mobile instrumentation framework for Android devices that focuses on users, researchers and application developers. In this paper we introduce AWARE’s web services (AWARE-WS), a multipurpose dashboard for science. AWARE-WS allows researchers to manage and interact with longitudinal, largescale and distributed user studies that focus on human behavior. Additionally, developers can manage and share their own plugins or sensors for extending the AWARE framework. AWARE-WS was designed and implemented taking into account AWARE’s secure, private, scalable, and interoperable data exchange requirements and has been thoroughly evaluated for its performance, scalability and usability. We stress-tested AWARE-WS with an increasing amount of generated data streams (e.g., sensor data), from 1000 to 10 Million devices, to improve the overall system’s performance. Using pagination and on-demand data loading, we achieved a reasonable average loading time of 1,9 seconds
AWARE on mobiili instrumentointikehys Android-laitteille, joka keskittyy sen käyttäjiin, tutkijoihin ja sovelluskehittäjiin. Tässä tekstissä esittelemme AWARE web servicen (AWARE-WS), joka on monikäyttöinen tieteellinen graafinen käyttöliittymä (dashboard). AWARE-WS sallii tutkijoiden hallinnoida pitkä-aikaisia, suurimittaisia ja jaettuja käyttäjätutkimuksia, jotka keskittyvä ihmiskäytökseen. Lisäksi sovelluskehittävät voivat hallinnoida ja jakaa heidän omia liitännäisiään (plugin) ja antureitaan (sensor) jotka laajentavat AWARE:a. AWARE-WS kehitettiin huomioonottaen AWARE:n turvallisuus-, yksityisyys-, laajennettavuus- ja yhteentoimivuusvaatimukset ja on arvioitu sen suorituskyvyn, laajennettavuuden ja käytettävyyden perusteella. Parantaaksemme järjestelmän suorituskykyä, suoritimme rasitustestejä generoimalla sensoridataa, joka vastasi määrältään tuhannesta kymmeneen miljoonan laitteen tuottamaa dataa. Käyttämällä sivutusta ja lataamalla vain tarvittavan datan, saavutimme sivustolle 1,9s keskimääräisen latausajan
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Visuri, A. (Aku). "AWARE-WS:a multipurpose science dashboard." Bachelor's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605131728.

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AWARE is a mobile instrumentation framework for Android devices that focuses on users, researchers and application developers. In this paper we introduce AWARE’s web services (AWARE-WS), a multipurpose dashboard for science. AWARE-WS allows researchers to manage and interact with longitudinal, largescale and distributed user studies that focus on human behavior. Additionally, developers can manage and share their own plugins or sensors for extending the AWARE framework. AWARE-WS was designed and implemented taking into account AWARE’s secure, private, scalable, and interoperable data exchange requirements and has been thoroughly evaluated for its performance, scalability and usability. We stress-tested AWARE-WS with an increasing amount of generated data streams (e.g., sensor data), from 1000 to 10 Million devices, to improve the overall system’s performance. Using pagination and on-demand data loading, we achieved a reasonable average loading time of 1,9 seconds.
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Books on the topic "Dashboard"

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Weidner, Florian. S3D Dashboard. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-35147-2.

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Raghunathan, V. Ganesha on the dashboard. New Delhi: Penguin Books, 2012.

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Vadivel, A., K. Meena, P. Sumathy, Henry Selvaraj, P. Shanmugavadivu, and Shaila S. G. Interactive and Dynamic Dashboard. Boca Raton: CRC Press, 2024. https://doi.org/10.1201/9781003542735.

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Aspin, Adam. Pro Power BI Dashboard Creation. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8227-4.

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Abdulezer, Loren. Xcelsius 2008 dashboard best practices. Indianapolis, Ind: Sams, 2009.

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Galbo, Kate. San Francisco Sustainable Neighborhood Dashboard. [New York, N.Y.?]: [publisher not identified], 2020.

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SAS Institute. SAS BI Dashboard 4.2: User's guide. Cary, N.C: SAS Institute, 2009.

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Fraser, Chip. The philosophy of a dashboard saint. Ventura, CA: Dashboard Saint, 2002.

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Coburn, Joseph. Build Your Own Car Dashboard with a Raspberry Pi. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6080-7.

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Kuriyama, Carlos A. APEC's Bogor goals dashboard: APEC Policy Support Unit, May 2013. [Singapore]: Asia-Pacific Economic Cooperation Policy Support Unit, Asia-Pacific Economic Cooperation Secretariat, 2013.

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Book chapters on the topic "Dashboard"

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Cays, John. "Dashboard." In An Environmental Life Cycle Approach to Design, 133–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63802-3_8.

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Pettit, Christopher, and Simone Z. Leao. "Dashboard." In Encyclopedia of Big Data, 255–60. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_295.

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Pettit, Christopher, and Simone Z. Leao. "Dashboard." In Encyclopedia of Big Data, 1–6. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32001-4_295-1.

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Burch, Michael, and Marco Schmid. "Dashboard Examples." In Dashboard Design, 163–212. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781032657301-5.

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Shahar, Eyal. "Dashboard Design." In Project Reliability Engineering, 81–122. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5019-8_4.

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Matsinopoulos, Panos. "Admin Dashboard." In Practical Bootstrap, 277–354. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6071-5_7.

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Markelov, Andrey. "OpenStack Dashboard." In Certified OpenStack Administrator Study Guide, 87–89. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2125-9_7.

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Ahmed, Riaz. "Executive Dashboard." In Cloud Computing Using Oracle Application Express, 267–76. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2502-8_29.

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Matam, Sai, and Jagdeep Jain. "Performance Dashboard." In Pro Apache JMeter, 303–13. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2961-3_12.

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Ahmed, Riaz. "Executive Dashboard." In Cloud Computing Using Oracle Application Express, 311–20. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4243-8_29.

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Conference papers on the topic "Dashboard"

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Jayawardena, Gavindya, Vikas Ashok, and Sampath Jayarathna. "Advanced Gaze Analytics Dashboard." In 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), 114–19. IEEE, 2024. http://dx.doi.org/10.1109/iri62200.2024.00034.

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Birgen, Isaac. "Refactoring Beholder’s Dashboard." In Refactoring Beholder’s Dashboard. US DOE, 2023. http://dx.doi.org/10.2172/1998903.

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Greenblatt, Simon, Jason Ormes, and Jeny Teheran. "Refactoring the Beholder Dashboard." In Refactoring the Beholder Dashboard. US DOE, 2023. http://dx.doi.org/10.2172/1996532.

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Padakanti, Dhatri, and Marcia Moraes. "Learning Analytics Dashboard to Support Instructors: A Literature Review." In Ninth International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2023. http://dx.doi.org/10.4995/head23.2023.16119.

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The purpose of this study is to conduct an evaluation of the literature on learning analytics dashboards in order to address the following research questions: "How do instructors use learning analytics dashboards to send notifications?" and "How can a learning analytics dashboard help students get reminded of the due dates for assignments, quizzes, and exams?". A total of 20 papers were analyzed. Although the majority of them discussed how students utilize dashboards to track their progress or compare their progress with their peers, none of them mentioned how dashboards may be utilized to automatically notify students or send reminders, reducing the amount of work instructors have to do. This can be taken into account when developing a dashboard for learning analytics in the future.
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Obradović, Aleksandar, Marija Raičević, Dragan Laušević, and Branko Dujović. "Dashboard for MMR vaccination coverage in Montenegro as the innovative communication tool." In Proceedings of the International Congress Public Health - Achievements and Challenges, 87. Institute of Public Health of Serbia "Dr Milan Jovanović Batut", 2024. http://dx.doi.org/10.5937/batutphco24042o.

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Background: Despite being included in the mandatory vaccination calendar and used for over three decades, MMR vaccine coverage has significantly declined in Montenegro over the last decade, especially the first dose, which is often delayed until preschool age. This was exacerbated by the COVID-19 pandemic, however, the pandemic accelerated digital innovations in public health, leading to a greater presence of dashboards as a primary communication tool for public health authorities, aimed at timely and comprehensive information sharing. Consequently, the Institute for Public Health of Montenegro (IPHMNE) developed a dashboard for MMR immunization coverage in early 2024 available at: https://www.ijzcg.me/me/male-boginje-morbili. Methods and Objectives: Data for the MMR vaccination dashboard are derived as a CSV file from the IPHMNE National immunization registry, within an integrated health informatics system. Exported data are converted to a MySQL database through an extract-transform-load phase, serving as the data source. Visuals for the dashboard are created using Microsoft Power Bi Desktop. The dashboard is updated weekly and it provides vaccine coverage by different birth cohorts, genders, and municipalities, as well as timeliness of vaccination. Results: Since the MMR vaccination dashboard's publication in April 2024, IPHMNE has referred to it in all public statements regarding the current epidemiological situation related to measles. This approach allows IPHMNE to communicate the importance of vaccination in preventing measles outbreaks more comprehensively and highlights fractions of the population at increased risk due to lack of vaccination. This has led to a more than 80% reduction in requests about current MMR vaccination coverage, as the information is publicly available to both professional and general audiences. Conclusions: Dashboards for data visualization are an effective way to utilize information technology to improve communication on different public health topics. They ensure timely and accurate information dissemination and reduce the need for information-sharing requests by providing updated data access to all interested parties.
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Dias, Cesimar, Frederico Lopes, and Jair Leite. "SmartNode Dashboard: um framework front-end baseado em Node-RED para criação de City Dashboards." In II Workshop Brasileiro de Cidades Inteligentes. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wbci.2019.6744.

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Este trabalho apresenta o SmartNode Dashboard (SND), uma ferramenta baseada em tecnologias front-end para criação de dashboards para cidades inteligentes. O SND implementou padrões de projetos e de interface web focados em conteúdos com estruturas reaproveitáveis. Além disso, foi criado um caso de estudo utilizando o Node-RED como plataforma de execução. Como resultados deste trabalho, foi desenvolvido o SmartNode Dashboard, um framework para criação de interfaces padronizadas e extensíveis. Além disso, ele oferece aos desenvolvedores de dashboards uma metodologia de implantação do framework com o Node-RED para facilitar e ampliar a capacidade das equipes no tocante ao desempenho, tempo e qualidade na criação de dashboards.
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Sekulovska, Angela, Frank Morelli, and Frank Schaetter. "Dashboard use case for supply chain resilience management and future research direction." In 38th ECMS International Conference on Modelling and Simulation. ECMS, 2024. http://dx.doi.org/10.7148/2024-0416.

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This paper builds upon the foundation of Key Resilience Areas to present a practical use case and to conceptualize a supply chain resilience dashboard. Expert evaluation from process mining and supply chain operations raised concerns regarding the usability and feasibility of such a dashboard. Additionally, future research directions, encompassing platform-based dashboards, resilience-sustainability fusion, and stress testing, are also explored.
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Chua, Hui Hua, and Rachel M. Minkin. "Talking of Many Things: Dashboards for Reference Services Decision Making." In Charleston Library Conference. Purdue Univeristy, 2020. http://dx.doi.org/10.5703/1288284317138.

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Staffing challenges are well-documented in reference services, but the use of dashboards to support data-driven scheduling for in-person and virtual reference shifts are not often discussed. This poster examines how Michigan State University Libraries utilized data-influenced decision-making and dashboard design iterations to streamline reference staffing and adapt to evolving conditions over the course of three years. This required continuous communication between dashboard users and creators and constant iteration of visualizations and designs to ensure dashboards remained relevant and current. Limitations of a purely quantitative data-driven strategy are also discussed at the conclusion of the final year.
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Olubunmi Awodiji, Temitope. "Interactive Dashboard Design for Manager, Data Analyst and Data Scientist Perspective." In 2nd International Conference on NLP Techniques and Applications (NLPTA 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111914.

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With large amounts of unstructured data being produced every day, organizations are trying to extract as much relevant information as possible. This massive quantity of data is collected from a variety of sources, and data analysts and data scientists use it to create a dashboard that provides a complete picture of the organization's performance. Dashboards are business intelligence (BI) reporting tools that collect and show key metrics and key performance indicators (KPIs) on a single screen, enabling users to monitor and analyse business performance at a glance. An objective assessment of the company's overall performance, as well as of each department, is provided. If each department has access to the dashboard, it may serve as a springboard for future discussion and good decision-making. The goal of this article is to explain in detail the implementation of Dashboard and how it works, which will serve as a blueprint for building an effective dashboard with respect to best practices for dashboard design.
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Mahajan, Siddharth, Mitesh Parekh, Hardik Patel, and Sharvari Patil. "BRB dashboard: A web-based statistical dashboard." In 2017 4th International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). IEEE, 2017. http://dx.doi.org/10.1109/iciiecs.2017.8276076.

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Reports on the topic "Dashboard"

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Juni, Peter, Antonina Maltsev, Gabrielle Katz, Anna Perkhun, and Shujun Diana Yan. Ontario Dashboard. Ontario COVID-19 Science Advisory Table, 2021. http://dx.doi.org/10.47326/ocsat.dashboard.2021.1.0.

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Woyczynski, Lauren, Christina Misunas, and Md Irfan Hossain. Building the Adolescent Indicators and Gender Gaps Dashboard. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1014.

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The Adolescent Atlas for Action (A3) is a suite of tools that summarizes the lives and needs of adolescents around the world to promote evidence-based decision-making. Through accessible and easy-to-grasp data just one click away, the A3 bridges the gap between decisionmakers and evidence to inform policies and programs. The Adolescent Indicators dashboard and Gender Gaps dashboard are two simple but dynamic dashboards that provide insights on the lives of adolescent girls and boys living in low- and middle income countries (LMICs) across 9 thematic domains of wellbeing. The Adolescent Indicators dashboard showcases how adolescent girls or boys are faring under each theme, globally and subnationally, as well as how the indicators across domains are interlinked. The Gender Gaps dashboard allows you to compare gaps by domain and indicator, both globally and subnationally. This brief elaborates on the methodology for developing both dashboards.
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Carpenter, Stephanie. AMPP-4 Metric Dashboard. Office of Scientific and Technical Information (OSTI), November 2024. http://dx.doi.org/10.2172/2476002.

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Skone, Timothy J., Robert James, III, Matt Jamieson, Greg Cooney, Greg Schivley, and Chungyan Shin. NETL Upstream Dashboard Version 3. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1433926.

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Skone, Timothy J., Matt Jamieson, Chungyan Shih, Greg Cooney, and Greg Schivley. NETL Upstream Dashboard Tool Documentation. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1513244.

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Franz, Mark, Michael Pack, Stanley Young, Jacob Holden, Jeff Cappelucci, Weiyi Zhou, and Chenfend Xiong. Transportation Energy Analytics Dashboard (TEAD). Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1784082.

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Mahlberg, Justin A., Jairaj Desai, Haydn Malackowski, Howell Li, Jijo K. Mathew, Rahul Suryakant Sakhare, Timothy Wells, and Darcy M. Bullock. Crowdsourcing/Winter Operations Dashboard Upgrade. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317652.

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INDOT has recently completed the deployment of Parsons telematics-based dash-cameras, automatic vehicle locator (AVL) positions, and spreader rate monitoring across their winter operations fleet. The motivation of this study was to develop dashboards that integrate connected vehicle data into the real-time monitoring and after-action review of winter storms. Each month approximately 13 billion connected vehicle records are ingested for the state of Indiana and almost 99 billion weather data records are ingested nationwide in 15-minute intervals. This study developed techniques to utilize this connected vehicle data and weather data to monitor real-time mobility of interstates and post storm after-action assessments to identify improvement opportunities of winter operations activities. In multiple instances, these agile reviews have influenced operational changes in snow removal and maintenance around the state, leading to a marked improvement in observed mobility and safety.
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Vijaya Baskaran, Prasanth. Business Metrics Dashboard for FCStone. Ames (Iowa): Iowa State University, January 2019. http://dx.doi.org/10.31274/cc-20240624-330.

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Aldrich, Susan. What Belongs on Your Customer Dashboard? Boston, MA: Patricia Seybold Group, February 2009. http://dx.doi.org/10.1571/psgp02-05-2009.

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Church, Joshua, LaKenya Walker, and Amy Bednar. JAIC Predictive Maintenance Dashboard user manual. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41823.

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This manual is intended for new users with minimal or no experience with using the JAIC Predictive Maintenance Dashboard (JPD). The goal of this document is to give an overview of the main functions of JPD. The primary focus of this document is to demonstrate functionality. Every effort has been made to ensure this document is an accurate representation of the functionality of the JPD. For additional information about this manual, contact ERDC.JAIC@erdc.dren.mil.
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