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Jansson, Linn, and 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.

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Many organizations are digitizing their business systems, creating potential to furthermore develop their organizations to become even more efficient. Business Intelligence is a collective term for skills, techniques, applications and processes that can help organizations to better understand their business. One of many Business Intelligence tools is a digital dashboard. A dashboard can collect the hidden figures in the business system or present already knows Key Performance Indicator to an organization. This study is conducted to find out what positive changes a usage of a dashboard can give to an organization. Through interviews and literature studies we have compared and analysed the results. This study shows that if you succeed with an implementation of a dashboard you will find benefits like better awareness, better agency and you will find that the organization will become more results orientated than before. They are all positive effects that a usage of a dashboard can give.
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Sousa, 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.

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Mestrado Bolonha em Métodos Quantitativos para a Decisão Económica e Empresarial<br>Este 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%.<br>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.<br>info:eu-repo/semantics/publishedVersion
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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.

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Made available in DSpace on 2016-08-10T10:44:17Z (GMT). No. of bitstreams: 1 CARLOS WILLIAM DE CARVALHO.pdf: 29524374 bytes, checksum: 290518e818817f4698b844c000e6490d (MD5) Previous issue date: 2012-03-05<br>The 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.<br>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.
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Berglund, Christopher, and 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.

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Monitoring key performance indicators (KPI) give practitioners immersive experience that is priceless when it comes to decision making and performance-enhancing in software companies. Used together with different tools that enable visualization of KPIs, users obtain big advantages that enable quick troubleshooting and detections of errors that could emerge in a product or a system. Many studies have been followed out in the field of data visualization using KPIs and digital dashboards. Still, the subject of KPIs providing valuable information to companies that are developing HR and payroll systems is relatively unexplored. The purpose of this thesis has been to investigate how essential KPIs should be visualized on a digital dashboard using a case company that focuses on developing HR and payroll systems. To investigate the phenomenon, five different interviews were conducted, and a digital dashboard was developed. The interviewees that participated in the empiric data collection were employees stationed in different teams with various authorities and experiences in the field of dashboards and KPIs. Previous works in the field of data visualization indicates that KPIs can be used and presented in various ways. When presenting KPIs on a dashboard, there are different factors that are of big influence of how successful the visualization gets. There are no complete templates on how KPIs should be visualized, however there are guidelines on how a dashboard could be shaped. Something that previous works and different interviewees in the present study agreed on was that a dashboard should consist of 4 to 8 KPIs. Too many KPIs can decrease the chance of obtaining the advantages that monitoring and visualizing KPIs on a digital dashboard can bring. Something that emerged from the study is the importance of first identify what to visualize and then implement how. Among the answers during the data collection, many interviewees found the number of users that were logged in on their products as something that would be useful to monitor. The reason for this was partly that the interviewees considered that by monitoring these numbers, it could increase the pride among the colleagues. The interviewees thought that it might boost morale among the employees if they visualized the many users of the products they are developing.<br>Genom 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.
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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.

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Mestrado em Métodos Quantitativos para a Decisão Económica e Empresarial<br>O 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.<br>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.<br>info:eu-repo/semantics/publishedVersion
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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.

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Made available in DSpace on 2016-08-10T10:44:32Z (GMT). No. of bitstreams: 1 CAMILLA DI RIBEIRO BARBOSA.pdf: 2543001 bytes, checksum: ed9910b3046fc9c28f4855ceba4681f3 (MD5) Previous issue date: 2014-02-25<br>The 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.<br>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.
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Harju, Schnee Linn, and 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.

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Dashboarden har kommit att bli ett uppmärksammat verktyg bland organisationer de senaste åren. En dashboard kan beskrivas som en visuell display som förmedlar väsentlig information nödvändig för att uppnå ett eller flera objektiv, som kan övervakas med en enda blick. En effektivt designad dashboard kan optimera ett företags prestationer och beslutsfattande genom att styra medlemmar i samma riktning samt förse dem med pålitliga beslutsunderlag. Tidigare forskning och läroböcker har berört motivation, implementersstadier av dashboards, val av nyckeltal samt hur dashboards ska designas för att vara effektiva. Få studier har dock undersökt hur dashboards designas i praktiken. Syftet med denna uppsats var därför att undersöka hur företags design av dashboards ser ut, och mer specifikt hur designen varierar efter syftet med dashboarden.  För att besvara problemställningen genomfördes en kvalitativ studie i form av små N-studier. Datainsamlingen inkluderade fem separata intervjuer med respondenter som varit delaktiga i designen av deras företags dashboard, samt kompletterande skärmavbilder på dessa. Studiens resultat indikerar att designen av dashboards i praktiken är komplext, men att några samband mellan syfte och design kan identifieras. Beroende på typen av dashboard, vilket korrelerar med dess syfte, kommer valet av KPI:er och funktionella egenskaper se olika ut. Inget tydligt samband mellan syfte och visuella egenskaper kunde identifieras.
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Hedin, Nathalie, and Adrian Zander. "Using KPIs in decision-making tools in the construction industry." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253805.

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The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. This can be a time-consuming process that could be made more efficient through Business Intelligence (BI). BI is a technology that automatically, with the help of selected Key Performance Indicators (KPIs), shows the current status of how a business performs. This can allow managers and executives to make decisions easier and faster.This study examines which KPIs that are of common interest to companies and organizations in the construction industry as well as how these KPIs can be presented to the end users of a BI application. To investigate this, data is collected through literature studies and interviews, which results in a list of common KPIs for the industry. From this common list, a number of KPIs are selected to be visually represented.An analysis of the results, indicates that KPIs are of different importance and relevance depending on which sector of the construction industry the interviewee belongs to. There also appears to be sector-specific KPIs and the common list suggests that the profit margin is of great importance throughout the whole industry. KPIs can be represented in different types of charts and diagrams, depending on the purpose they hold, and should be designed so that they are intuitive and easy to understand.<br>Bygg- och hantverksbranschen har stor möjlighet att effektivisera sin verksamhet ännu mer genom att i större utsträckning utnyttja den digitaliserade utvecklingen. Branschen använder idag mycket manuell datahantering och manuell dataanalys för att få en överblick över verksamheten och ta beslut. Detta kan vara en tidskrävande process, som skulle kunna effektiviseras ytterligare genom Business Intelligence (BI). BI är en teknologi som automatiskt, med hjälp av valda nyckeltal (KPI:er), visar aktuell status på hur en verksamhet presterar. Detta kan göra att beslutsfattare kan fatta beslut enklare och snabbare.Denna studie undersöker vilka nyckeltal som är av gemensamt intresse för företag och organisationer i byggoch hantverksbranschen samt hur dessa nyckeltal kan presenteras för slutanvändarna av en BI-applikation. För att ta reda på detta samlas data in genom litteraturstudier och intervjuer, vilket resulterar i en lista över gemensamma KPI:er i branchen. Ur denna lista handplockas ett antal nyckeltal ut för att representeras visuellt.En analys av resultaten indikerar att nyckeltal är av olika vikt och relevans, beroende på vilken sektortillhörighet av byggoch hantverksbranschen den intervjuade tillhör. Det verkar även finnas sektorspecifika KPI:er samt att listan med de branchgemensamma nyckeltalen antyder att vinstmarginal är av stor vikt. KPI:er kan representeras i olika typer av diagram beroende på vilket syfte de innehar och bör designas så att de är intuitiva och lättförståeliga.
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Elías, Zuloeta Fernando Arturo, Guerra Luis Miguel Rojas, and 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.

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El propósito de la presente investigación es Determinar si la implementación de los Dashboard permitirá 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”. Para ello se ha investigado con respecto a dos variables: Implementación de Dashboards y Productividad. El estudio partió de la hipótesis que la implementación de los Dashboards influye significativamente en la mejora de 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. Para probar las hipótesis se utilizó el estadístico de prueba de T de Student. En el estudio se trabajó con una muestra de 85 registros documentales, los cuales fueron obtenidos de la obra en mención, la recolección de datos se realizó mediante la técnica de la observación y análisis documental; con ello se pudo crear los indicadores de rendimiento o Kpi’s para la elaboración de los Dashboards. El diseño investigativo es Cuasi Experimental y longitudinal. Como resultado se demostró que la implementación de los Dashboard influye significativamente en la mejora de la productividad del área de estudio, ello permitió tomar decisiones para mejorar productividad de la obra, como resultado final se redujo en 10% el costo total de la obra.<br>The 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%.<br>Trabajo de investigación
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Кука, Данило Олександрович, Дмитро Леонідович Орловський та 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.

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У даній роботі розглянуті питання щодо застосування приладових панелей для вирішення задач бізнес-аналізу, що дозволяє поліпшити якість вирішення задач управління та аналізу діяльності підприємства.<br>This 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.
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