Literatura académica sobre el tema "Indicator dashboard"
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Artículos de revistas sobre el tema "Indicator dashboard"
Merkulova, T., N. Ihumentseva y A. Prokopenko. "Development of a management accounting model of an insurance company using dashboards". 101, n.º 101 (30 de diciembre de 2021): 26–34. http://dx.doi.org/10.26565/2311-2379-2021-101-03.
Texto completoMansyur, Abu Abbas, Hariyadi Hariyadi y Agus Eko Minarno. "Pembuatan Sistem Dashboard Akreditasi Institusi Perguruan Tinggi Standar 4 Berbasis Key Performance Indicator". Jurnal Repositor 2, n.º 3 (5 de marzo de 2020): 305. http://dx.doi.org/10.22219/repositor.v2i3.491.
Texto completoStríček, Ivan y Ivana Andrisková. "DASHBOARD USABILITY IN FINANCIAL MODELING". CBU International Conference Proceedings 3 (19 de septiembre de 2015): 020–27. http://dx.doi.org/10.12955/cbup.v3.579.
Texto completoBranchi, Bruna A. y Marina Pedrini Feltrin. "Dashboard and Composite Indicator for Monitoring Sustainable Development". International Journal of Innovation Education and Research 7, n.º 5 (31 de mayo de 2019): 316–27. http://dx.doi.org/10.31686/ijier.vol7.iss5.1514.
Texto completoSánchez-Suárez, Yasniel, Verenice Sánchez-Castillo y Carlos Alberto Gómez-Cano. "Dashboard for assessing patient flow management in hospital institutions". DYNA 91, n.º 232 (9 de mayo de 2024): 49–57. http://dx.doi.org/10.15446/dyna.v91n232.111259.
Texto completoGusnadi, Yance y Aditiya Hermawan. "Designing Employee Performance Monitoring Dashboard Using Key Performance Indicator (KPI)". bit-Tech 2, n.º 2 (30 de diciembre de 2019): 81–88. http://dx.doi.org/10.32877/bt.v2i2.107.
Texto completoBarbazza, Erica, Damir Ivanković, Sophie Wang, Kendall Jamieson Gilmore, Mircha Poldrugovac, Claire Willmington, Nicolas Larrain et al. "Exploring Changes to the Actionability of COVID-19 Dashboards Over the Course of 2020 in the Canadian Context: Descriptive Assessment and Expert Appraisal Study". Journal of Medical Internet Research 23, n.º 8 (6 de agosto de 2021): e30200. http://dx.doi.org/10.2196/30200.
Texto completoAttar, Zakky Al, Tien Fabrianti Kusumasari y Rahmat Fauzi. "Pengembangan Sistem Dashboard untuk Mengevaluasi Platform E-Marketplace dengan Metode Scrum pada Startup GRAVIS". Jurnal Edukasi dan Penelitian Informatika (JEPIN) 8, n.º 3 (26 de diciembre de 2022): 536. http://dx.doi.org/10.26418/jp.v8i3.58782.
Texto completoIbrahim, Irma Irawati y Cuk Tho. "INFORMATION SYSTEM DESIGN OF PERFORMANCE ACHIEVEMENTS MONITORING IN THE UNIVERSITY: A CASE STUDY IN BINUS UNIVERSITY". CommIT (Communication and Information Technology) Journal 6, n.º 1 (31 de mayo de 2012): 1. http://dx.doi.org/10.21512/commit.v6i1.563.
Texto completoOlney, Tom, Steve Walker, Carlton Wood y Anactoria Clarke. "Are We Living In LA (P)LA Land? Reporting on the Practice of 30 STEM Tutors in their Use of a Learning Analytics Implementation at the Open University". Journal of Learning Analytics 8, n.º 3 (1 de octubre de 2021): 45–59. http://dx.doi.org/10.18608/jla.2021.7261.
Texto completoTesis sobre el tema "Indicator dashboard"
Jansson, Linn y Lisa Naréus. "En digital dashboard, kostar den mer än den smakar? : En kvalitativ studie om vilka effekter en digital dashboard kan ge på organisationer". Thesis, Umeå universitet, Institutionen för informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-135344.
Texto completoSousa, Margarida Monteiro de. "Dashboard para análise do setor automóvel em Portugal : os anos 2019 e 2020 e consequências da pandemia". Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/23307.
Texto completoEste trabalho consiste numa análise ao setor automóvel em Portugal nos anos de 2019 e 2020 e consequências do período da pandemia, através da construção de um Dashboard que permite às empresas do setor, de uma forma rápida e eficaz, conseguirem analisar os dados sem precisarem de os tratar. Para além disso possibilita às empresas analisar a sua performance através de gráficos e tabelas. Este Dashboard é construído com dados da plataforma MotorData, pertencente à Associação do Comércio Automóvel de Portugal, ACAP, que representa, há mais de 100 anos, a globalidade do setor automóvel a nível nacional. Esta análise ultrapassa o problema anterior de apenas estar disponível para as empresas a informação do número de matrículas mensais por marcas. Com este trabalho as empresas não só conseguem ver o número de matrículas por marca, modelos, tipo de energia e segmento, como também saber qual a sua performance no mercado. Procedeu-se também a uma análise dos dados obtidos no MotorData para o período de pandemia e concluiu-se que o confinamento foi responsável, por exemplo, pela diminuição da venda de ligeiros em 49%.
This work consists of an analysis of the automotive sector in Portugal in the years 2019 and 2020 and the consequences of the pandemic, through the construction of a Dashboard that allows companies in the sector to quickly and effectively analyse the data without having to process them. In addition, it enables companies to analyse their performance through graphs and tables. This Dashboard is built with data from the MotorData platform, which belongs to the Portuguese Automobile Trade Association, ACAP, which has represented for over 100 years the entire national automotive sector. This analysis overcomes the previous problem of only being available to companies the information on the number of monthly registrations by brands. With this work companies are not only able to see the number of registrations by brand, models, type of energy and segment, but also to know their performance in the market. An analysis of the data obtained in MotorData for the pandemic period was also carried out and it was concluded, for instance, that the lockdown was responsible for 49% reduction on the sale of light vehicles.
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Carvalho, Carlos William de. "AVALIAÇÃO DO ÍNDICE DE DESENVOLVIMENTO SUSTENTÁVEL (IDS) NO MUNICÍPIO DE GOIÂNIA/GO ATRAVÉS DO MÉTODO DO PAINEL DE SUSTENTABILIDADE (DASHBOARD OF SUSTAINABILITY)". Pontifícia Universidade Católica de Goiás, 2012. http://localhost:8080/tede/handle/tede/2504.
Texto completoThe Municipality of Goiania has been highlighted in national media as one of the cities for better quality of life and environmental preservation. The study aims to analyze the sustainable development of the Municipality of Goiania, using this method the Panel Sustentabiliade (Dashboard of Sustainability), which includes four dimensions: environmental, economic, social and institutional. For the analysis we used seven indicators in the economic dimension, environmental dimension in the 13 indicators, 22 indicators in the social and institutional dimension in the two indicators, totaling 44 indicators. We compared the latest data with the previous year. The main limitation of this study was to find reliable time series statistics. Given this difficulty can highlight the institutional dimension with only two indicators. The institutional and economic dimensions with better performance, while the environmental and social conditions were worse. The Dashboard of Sustainability is a useful tool to aid in the Public Managers in the measurement of sustainable development, based on better data consolidation. The difficulties portrayed in research concerning the absence of a systematic generation of statistical data for the municipality may also affect the development of public policy more efficient in dealing with sustainable development, as well as the measurement of these.
O Município de Goiânia tem se destacado na mídia nacional como uma das cidades de melhor qualidade de vida e preservação ambiental. O estudo visa analisar o desenvolvimento sustentável do Município de Goiânia, utilizando para isso o Método do Painel de Sustentabiliade (Dashboard of Sustainability), que contempla quatro dimensões: ambiental, econômica, social e institucional. Para a análise foram utilizados 7 indicadores na dimensão econômica, 13 indicadores na dimensão ambiental, 22 indicadores na dimensão social e 2 indicadores na dimensão institucional, totalizando 44 indicadores. Foram comparados os dados mais recentes com os do ano anterior. A principal limitação da pesquisa foi encontrar séries históricas estatísticas confiáveis. Diante dessa dificuldade pode-se destacar a dimensão institucional contando apenas com dois indicadores. As dimensões institucional e econômica apresentaram melhor desempenho, enquanto que a ambiental e social foram pior. O Painel de Sustentabilidade (Dashboard of Sustainability) é uma ferramenta útil no auxilio aos Gestores Públicos na mensuração do desenvolvimento sustentável, a partir de uma melhor consolidação dos dados. As dificuldades retratadas na pesquisa em relação a ausência de uma sistematização na geração de dados estatísticos para o Município podem afetar também a elaboração de Políticas Públicas mais eficientes no trato do desenvolvimento sustentável, assim como a mensuração dessas.
Berglund, Christopher y Amar Tenic. "Dashboard design and its relation to KPIs : A qualitative case study on a software company". Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96351.
Texto completoGenom att övervaka nyckeltal (KPIer) kan användare erhålla fördelar som är ovärderliga när det gäller beslutsfattande och prestandaförbättring hos mjukvaruföretag. Tillsammans med olika verktyg som möjliggör visualisering av KPIer får användare stora fördelar som gör det möjligt att snabbt upptäcka fel som kan uppstå i en produkt eller i ett system. Många studier berör ämnet datavisualisering och digitala instrumentpaneler. Trots det här är ämnet KPIer, specifikt de som ger värdefull information till företag som utvecklar HR- och lönesystem outforskat. Syftet med den här studien har varit att undersöka hur viktiga KPIer bör visualiseras på en digital instrumentpanel hos ett företag som fokuserar på att utveckla HR- och lönesystem. För att undersöka fenomenet genomfördes fem olika intervjuer. En digital instrumentpanel utvecklades även som ett komplement till att svara på forskningsfrågan utifrån tidigare forskning och de empiriska resultat som framkom under studiens gång. Informanterna som deltog i den empiriska datainsamlingen var anställda på ett fallföretag och stationerade i olika utvecklingsteam. Informanterna hade sedan tidigare olika erfarenheter av att använda instrumentpaneler och KPIer. Tidigare studier inom datavisualisering indikerar att KPIer kan användas och visualiseras på olika sätt. När KPIer presenteras på en instrumentpanel finns det olika faktorer som har stort inflytande på hur framgångsrik visualiseringen blir. Det finns inga kompletta mallar för hur KPIer ska visualiseras men det finns riktlinjer för hur en instrumentpanel kan utformas. Något som tidigare studier samt informanterna i den här studien enades om var att en instrumentpanel bör bestå av ett antal mellan fyra och åtta KPIer. Genom att använda för många KPIer så minskar chansen att få de fördelar som övervakning och visualisering av KPIer på en digital instrumentpanel kan ge. Något som den här studien belyser är vikten av att först identifiera vad som ska visualiseras för att sedan implementera hur. En av flera KPIer som ansågs värdefulla för informanterna var antalet användare som var inloggade i deras produkt. Anledningen till det här var delvis att informanterna ansåg att övervakning av användare skulle skapa ökad stolthet bland kollegorna på kontoret.
Martins, Rita Maria Rosalino. "Construção do dashboard operacional e da base de dados internacional e reporting na empresa Chronopost". Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/17661.
Texto completoO presente relatório integrado no Mestrado de Métodos Quantitativos para a Decisão Económica e Empresarial descreve o trabalho desenvolvido durante um estágio de 4 meses na Chronopost Portugal, DPDgroup. A DPDgroup é uma rede internacional de entrega de encomendas que agrega a DPD, Chronopost e SEUR. A Chronopost é uma empresa de transporte expresso que assegura a ligação entre o expedidor e o cliente final, particulares ou empresas, a nível nacional e internacional. Ao longo do desenvolvimento deste trabalho foi elaborado um Dashboard Operacional que tem como principal objetivo possibilitar a análise de incidências (motivos pelas quais as encomendas não chegaram ao cliente final) e eventos (saídas de armazém e entregas) que ocorreram durante o fluxo de entregas. Os dados fornecidos para a sua construção foram exportados do AS400 (sistema da empresa) e os cálculos necessários à sua construção foram elaborados em Power BI. Também foi realizada uma Base de Dados Internacional e Reporting que permite controlar a atividade internacional da organização, ajudando no planeamento da operação e desenvolvimento da atividade internacional da empresa. Esta foi realizada em Excel sendo que todos os cálculos auxiliares foram realizados em Power Pivot. A construção destas ferramentas possibilita a análise de informação operacional da empresa tanto a nível nacional como internacional.
This report, describes the work carried out at Chronopost Portugal, of DPDgroup, during a 4-month internship. The DPDgroup is an international parcel delivery network which aggregates DPD, Chronopost and SEUR. Chronopost is an express transport company, linking the dispatcher and the final customer, individuals or companies at a national and international levels. During the development of this work, an Operational Dashboard was elaborated with the main objective of controlling incidents (reasons why orders did not reach the final customer) and events (warehouse deliveries) during the delivery flow. The data provided for its construction were exported from the AS400 (the company system) and the calculations were performed in Power BI. An International Database and Reporting was also developed, allowing for the control of the international activity of the organization. This helps the planning of the operations and the development of the international activity of the company. This was done in Excel and all the auxiliary calculations were performed in Power Pivot. The construction of these tools enables the analysis of operational information of the company both nationally and internationally.
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Barbosa, Camilla Di Ribeiro. "ÍNDICE DE SUSTENTABILIDADE AMBIENTAL NO MUNICÍPIO DE ARUANÃ, GOIÁS, CALCULADO COM BASE NO MÉTODO DASHBOARD OF SUSTAINABILITY: UMA ANÁLISE MULTIDISCIPLINAR VOLTADA À PROMOÇÃO DO DESENVOLVIMENTO SUSTENTÁVEL". Pontifícia Universidade Católica de Goiás, 2014. http://localhost:8080/tede/handle/tede/2529.
Texto completoThe Municipality of Aruanã in Goiás is not only regional but also national reference when thinking about fishing tourism. For this feature, we analyzed the degree of sustainable development of the municipality of Aruanã, through the Sustainability Panel (Dashboard of Sustainability), which is characterized by addressing four dimensions, environmental, economic, social and institutional method. 3 indicators for the environmental dimension, 5 indicators for the economic dimension, 11 indicators for the social dimension and only 02 indicators for the institutional dimension were analyzed. A total of 21 indicators were analyzed in two periods, in 2005 and in 2010. A major limitation of this research was to find indicators of two years at regional, state and national sources. Therefore, we highlight the use of only 02 indicators of institutional dimension and only 03 in the dimension nature (environmental). The economic dimension had the best result and the worst was the environmental dimension. The social and institutional dimensions showed average result. In the final calculation of the Index Dashboard of Sustainability for Aruanã, Goiás, met a score characterized as poor, putting the county in a position below the average.
O Município de Aruanã em Goiás é referência não só regional, como também nacional quando se pensa em turismo de pesca. Por esta característica, foi analisado o grau de desenvolvimento sustentável do município de Aruanã, através do método do Painel de Sustentabilidade (DashboardofSustainability), que se caracteriza por abordar quatro dimensões, ambiental, econômica, social e institucional. Foram analisados 3 indicadores para a dimensão ambiental, 5 indicadores para a dimensão econômica, 11 indicadores para a dimensão social e apenas 02 indicadores para a dimensão institucional. Um total de 21 indicadores foram analisados em dois períodos, no ano de 2005 e no ano de 2010. Um grande limitador nesta pesquisa foi encontrar os indicadores dos dois anos em fontes regionais, estaduais e nacionais. Por isso, destaca-se a utilização de apenas 02 indicadores da dimensão institucional e somente 03 na dimensão natureza (ambiental). A dimensão econômica obteve o melhor resultado e o pior foi a dimensão ambiental. As dimensões social e institucional apresentaram resultados médios. No cálculo final do Índice DashboardofSustainability para Aruanã, Goiás, encontrou-se uma pontuação caracterizada como ruim, colocando o município numa situação abaixo da média.
Harju, Schnee Linn y Rakel Wallentin. "Från data till ett organisatoriskt förstoringsglas : En kvalitativ studie om designen av dashboards i praktiken". Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448751.
Texto completoHedin, Nathalie y Adrian Zander. "Using KPIs in decision-making tools in the construction industry". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253805.
Texto completoBygg- och hantverksbranschen har stor möjlighet att effektivisera sin verksamhet ännu mer genom att i större utsträckning utnyttja den digitaliserade utvecklingen. Branschen använder idag mycket manuell datahantering och manuell dataanalys för att få en överblick över verksamheten och ta beslut. Detta kan vara en tidskrävande process, som skulle kunna effektiviseras ytterligare genom Business Intelligence (BI). BI är en teknologi som automatiskt, med hjälp av valda nyckeltal (KPI:er), visar aktuell status på hur en verksamhet presterar. Detta kan göra att beslutsfattare kan fatta beslut enklare och snabbare.Denna studie undersöker vilka nyckeltal som är av gemensamt intresse för företag och organisationer i byggoch hantverksbranschen samt hur dessa nyckeltal kan presenteras för slutanvändarna av en BI-applikation. För att ta reda på detta samlas data in genom litteraturstudier och intervjuer, vilket resulterar i en lista över gemensamma KPI:er i branchen. Ur denna lista handplockas ett antal nyckeltal ut för att representeras visuellt.En analys av resultaten indikerar att nyckeltal är av olika vikt och relevans, beroende på vilken sektortillhörighet av byggoch hantverksbranschen den intervjuade tillhör. Det verkar även finnas sektorspecifika KPI:er samt att listan med de branchgemensamma nyckeltalen antyder att vinstmarginal är av stor vikt. KPI:er kan representeras i olika typer av diagram beroende på vilket syfte de innehar och bör designas så att de är intuitiva och lättförståeliga.
Elías, Zuloeta Fernando Arturo, Guerra Luis Miguel Rojas y Rodríguez Junior Gonzalo Segura. "Implementación de los dashboard para mejorar la productividad de la obra: Rehabilitación de la protección del perímetro del terreno de la Universidad Nacional de Piura colindante con la margen izquierda del Río Piura". Master's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/626140.
Texto completoThe purpose of this research is to determine if the implementation of the Dashboard will improve the productivity of the work "Rehabilitation of the perimeter protection of the land of the National University of Piura adjoining the left bank of the Piura River." For this, it has been investigated with respect to two variables: Implementation of Dashboards and Productivity. The study started from the hypothesis that the implementation of the Dashboards significantly influences the improvement of the productivity of the work "Rehabilitation of the protection of the perimeter of the land of the National University of Piura adjoining the left bank of the Piura River. To test the hypotheses we used the Student's T test statistic. In the study we worked with a sample of 85 documentary records, which were obtained from the work in question, the data collection was made through the technique of observation and documentary analysis; with this it was possible to create the performance indicators or Kpi's for the elaboration of the Dashboards. The research design is Quasi Experimental and longitudinal. As a result it was demonstrated that the implementation of the Dashboard significantly influences the improvement of the productivity of the study area, this allowed to make decisions to improve the productivity of the work, as a final result the total cost of the work was reduced by 10%.
Trabajo de investigación
Кука, Данило Олександрович, Дмитро Леонідович Орловський y Андрій Михайлович Копп. "Приладові панелі та їх застосування у бізнес-аналітиці". Thesis, Прикарпатський національний університет ім. Василя Стефаника, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40856.
Texto completoThis paper considers the use of indicators dashboards in order to solve business analysis problems. It allows improving the quality of solving the management and analysis problems related to enterprise activities. The relevance of this research is defined by the need for continuous improvement of business performance of Ukrainian and foreign organizations due to the constant calls of the competitive environment. Therefore, this paper discusses the foundations of using dashboards in business analysis, their purpose, and role in organizational management. According to the considered survey, modern organizations tend to be interested in applying dashboards systems. This growing interest depends on huge analytical abilities of operational, tactical, and strategic dashboards that provide information for management decisions on each level of organizational governance. As the example, this work considers the prototype of the operational dashboard intended to visualize the selected indicators of the supply process. The common procedure of building the dashboard system based on indicators is outlined.
Libros sobre el tema "Indicator dashboard"
Yee, Nick y Nicolas Ducheneaut. Gamer motivation profiling: uses and applications. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0028.
Texto completoField, Clive D. Counting Religion in Britain, 1970-2020. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192849328.001.0001.
Texto completoRodgers, Yana van der Meulen. The Global Gag Rule and Women's Reproductive Health. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190876128.001.0001.
Texto completoCapítulos de libros sobre el tema "Indicator dashboard"
Ahmad, Atezaz, Jan Schneider y Hendrik Drachsler. "OpenLAIR an Open Learning Analytics Indicator Repository Dashboard". En Addressing Global Challenges and Quality Education, 467–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57717-9_46.
Texto completoGonzález-Martel, Christian y José Manuel Cazorla-Artiles. "An Application of Open Data in Public Administrations: The Lanzarote Tourism Indicator Dashboard". En Marketing and Smart Technologies, 181–90. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9268-0_15.
Texto completoAhmad, Atezaz, Ivaylo Ivanov Yordanov, Jane Yau, Jan Schneider y Hendrik Drachsler. "A Trusted Learning Analytics Dashboard for Displaying OER". En Distributed Learning Ecosystems, 279–303. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38703-7_15.
Texto completoKhan, Arshad. "Key Performance Indicators". En Visual Analytics for Dashboards, 31–41. Berkeley, CA: Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0119-8_3.
Texto completoBorsari, Alice, Patrizia Lombardi y Sara Torabi Moghadam. "Indicators and Scenarios for Sustainable Development at the Local Level". En The Urban Book Series, 61–70. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33894-6_5.
Texto completoLafortune, Guillaume, Santiago Gonzalez y Zsuzsanna Lonti. "Government at a Glance: A Dashboard Approach to Indicators". En The Palgrave Handbook of Indicators in Global Governance, 207–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62707-6_9.
Texto completoRocha, Sónia, Jorge Bernardino, Isabel Pedrosa y Ilda Ferreira. "Dashboards and Indicators for a BI Healthcare System". En Advances in Intelligent Systems and Computing, 81–90. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56535-4_8.
Texto completoZouhri, Kamal, Saad Elouardirhi y Abdellah Youssfi. "Developing a Dashboard for Evaluating Higher Education Indicators (in Morocco)". En Advances in Intelligent Systems and Computing, 255–61. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46568-5_26.
Texto completoPerson, Ron. "Identifying Critical Metrics and Key Performance Indicators". En Balanced Scorecards & Operational Dashboards with Microsoft® Excel®, 121–31. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118984000.ch11.
Texto completoStaron, Miroslaw, Kent Niesel y Wilhelm Meding. "Selecting the Right Visualization of Indicators and Measures – Dashboard Selection Model". En Software Measurement, 130–43. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_9.
Texto completoActas de conferencias sobre el tema "Indicator dashboard"
L, Vidya Dharani, Manikanta K, Grace Anzel G, Sasi Kiran V, Srithar S y Aravinth S. S. "Interactive Performance Indicator Dashboard for Modern Enterprise". En 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2022. http://dx.doi.org/10.1109/icacrs55517.2022.10029126.
Texto completoBassin, Pooja, Abraham G K y Srinath Srinivasa. "Design of a Data-driven Intervention Dashboard for SDG Localization". En Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/990.
Texto completoKomarudin, Muhamad, Suharno, Mardiana, Dikpride Despa, Hery Dian Septama y Titin Yulianti. "Design of Key Performance Indicator Dashboard for Indonesian Higher Education based on One Data". En 2023 International Conference on Converging Technology in Electrical and Information Engineering (ICCTEIE). IEEE, 2023. http://dx.doi.org/10.1109/iccteie60099.2023.10366722.
Texto completoPrimo, Camila Souza, Bernardo Melo Oliveria, Ioná Maria Rameh Barbosa, Vânia Soares de Carvalho y Aida Araújo Ferreira. "VISUAL DATA PANEL AS AN ANALYSIS INSTRUMENT OF POLICIES / PROGRAMS TO PROMOTE THE RIGHTS OF PEOPLE WITH DISABILITIES IN PERNAMBUCO". En ENSUS2023 - XI Encontro de Sustentabilidade em Projeto. Grupo de Pesquisa Virtuhab/UFSC, 2023. http://dx.doi.org/10.29183/2596-237x.ensus2023.v11.n2.p169-179.
Texto completoSekáč, Peter. "Key Performance Indicators in the Context of Sustainable Business Development". En EDAMBA 2022: 25th International Scientific Conference for Doctoral Students and Post-Doctoral Scholars. Bratislava: University of Economics in Bratislava, 2023. http://dx.doi.org/10.53465/edamba.2022.9788022550420.345-354.
Texto completoLe, Phat, Scott Olson y Taylor Shie. "Communication and Mitigation Strategies Related to the Leading Indicator of Pressure Cycle Fatigue". En 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9555.
Texto completoContreras Perez, David Rafael y Amal Almehrzi. "Data Visualization Workflow an Alternative Procedure to Quality Check Static Grids". En ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211607-ms.
Texto completoOlubunmi Awodiji, Temitope. "Interactive Dashboard Design for Manager, Data Analyst and Data Scientist Perspective". En 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.
Texto completoAmir, M. Mahamad, T. Nian Wei, R. Kamarul Bahrim, M. B. Mat Piah, R. D. Tewari, N. Kechut, A. Abdul Razak, N. Abdul Manaf y E. Castillano. "Digital Twin for Oil Rim Management Using Early Warning System and Exception Based Surveillance, Offshore Malaysia". En Offshore Technology Conference Asia. OTC, 2024. http://dx.doi.org/10.4043/34863-ms.
Texto completoArriaran Olalde, Iñigo y Nagore Ipiña Larrañaga. "Indicators needed to design a student dashboard from lecturers’ perspectives: a qualitative study". En Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9415.
Texto completoInformes sobre el tema "Indicator dashboard"
Woyczynski, Lauren, Christina Misunas y Md Irfan Hossain. Building the Adolescent Indicators and Gender Gaps Dashboard. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1014.
Texto completoEdling, Laura, James Duncan, Alexandra Kosiba y Jennifer Pontius. Linking Forest Science to Policy: Improving a Forest Indicators Dashboard to Inform Policy and Decision Making Across Vermont's Forested Landscape. Forest Ecosystem Monitoring Cooperative, junio de 2019. http://dx.doi.org/10.18125/l165vd.
Texto completoDowning, Thomas E., John Colvin, Sarah Abdelrahim, Carmen Lacambra, Claudia Munera, Juan Lacambra y Mirza Castro. A Prototype Monitoring, Learning and Evaluation Platform: Benchmarking Climate Resilience in the Private Sector for PROADAPT. Inter-American Development Bank, mayo de 2016. http://dx.doi.org/10.18235/0006523.
Texto completoFranco, Susana, Ander Sánchez y James Wilson. Basque Country digital economy and society. DESI 2023. Editado por Patricia Canto. Universidad de Deusto, 2024. http://dx.doi.org/10.18543/npoq1853.
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