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Статті в журналах з теми "Indicator dashboard"
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Merkulova, T., N. Ihumentseva, and A. Prokopenko. "Development of a management accounting model of an insurance company using dashboards." 101, no. 101 (December 30, 2021): 26–34. http://dx.doi.org/10.26565/2311-2379-2021-101-03.
Повний текст джерелаАнотація:
Modern enterprise resource management systems are quite universal, but in practice each firm has its own characteristics, which are determined by the type of activity, scale of production, management structure and other factors. These features must be taken into account when choosing a model of management accounting, adapting it to the requirements of production and management of a particular enterprise. This paper focuses on the development of a model of management reporting of an insurance company based on the 1C: Enterprise system using dashboards. Based on the needs of company management, the requirements for the model of management reporting were formulated: simplicity and clarity; control of key indicators; choice of time intervals; comparison of locations (branches, separate offices, sites, etc.); taking into account exchange rates. The proposed conceptual model includes a system of key indicators, a block of preparatory information for dashboards, blocks of the 1C: Enterprise system (sources of information). The development of the model according to this conceptual scheme involves the following stages: the choice of key indicators; content development and design of dashboards; preparation of input information for dashboards. The proposed blocks of key indicators of the conceptual model were divided according to the content into 2 dashboards: dashboard of insurance indicators and dashboard of financial indicators. Dashboards use the following filters: month, location, and indicator. In the dashboard of financial indicators there is an additional filter "currency" (UAH, EUR, USD). The developed conceptual model of management reporting and its implementation with the help of dashboards can be a useful tool for the management of the insurance company. The model focuses on small firms, but takes into account the spatial structure of the company, the structure of insurance products, and time interval. Dashboards present in a simple and clear way relevant information that can be used in making management decisions.
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Mansyur, Abu Abbas, Hariyadi Hariyadi, and Agus Eko Minarno. "Pembuatan Sistem Dashboard Akreditasi Institusi Perguruan Tinggi Standar 4 Berbasis Key Performance Indicator." Jurnal Repositor 2, no. 3 (March 5, 2020): 305. http://dx.doi.org/10.22219/repositor.v2i3.491.
Повний текст джерелаАнотація:
Sistem Dashboard sangat dibutuhkan dalam proses Akreditasi Institusi Perguruan Tinggi, system dashboard mempermudah proses monitoring sebuah kinerja yang sedang dilaksanakan. Proses penilaian akreditasi menggunakan indicator-indicator tertentu untuk menandakan kondisi suatu proyek, proses akreditasi memerlukan datavdan informasi dari semua pihak-pihak yang berkaitan dengan perguruan tinggi. Indicator-indicator yang digunakan bersumber dari BAN-PT berdasarkan data dari setiap komponen yang ada di perguruan tinggi. Data dan informasi tersebut harus sesuai dengan kondisi internal yang ada di perguruan tinggi sekarang ini. Karena nantinya hasil dari penelitian ini digunakan untuk proses evaluasi akreditasi di asa yang akan dating. Sehingga kedepannya suatu perguruan tinggi bias mempertahankan ataupun meningkatkan nilai akreditasi
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Stríček, Ivan, and Ivana Andrisková. "DASHBOARD USABILITY IN FINANCIAL MODELING." CBU International Conference Proceedings 3 (September 19, 2015): 020–27. http://dx.doi.org/10.12955/cbup.v3.579.
Повний текст джерелаАнотація:
This article is focused on the possibility of utilizing dashboard applications in financial modeling. In the era of easy access to the spreadsheet generator, as well as applications and the Internet, it is appropriate to use these tools in each area. The increasing amount of data and the need for daily monitoring and evaluation lead to the development of management applications with graphical data analysis known as “Dashboards.” The manager has the option to buy the app with a predefined environment, or create his own version—specific to the company. If only a simpler design is needed, without an online base and a connection with external databases, then it is possible to create such a simple dashboard using Excel and manage it by trained personnel. In the article, we, therefore, introduced a sample of financial indicator suitable for analysis through the application process and also showed how to create the basic interactive application.
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Branchi, Bruna A., and Marina Pedrini Feltrin. "Dashboard and Composite Indicator for Monitoring Sustainable Development." International Journal of Innovation Education and Research 7, no. 5 (May 31, 2019): 316–27. http://dx.doi.org/10.31686/ijier.vol7.iss5.1514.
Повний текст джерелаАнотація:
Monitoring progress made in attaining sustainable development is a highly debated issue. Starting from the framework defined by the United Nations 2030 Agenda and its 17 Sustainable Development Goals (SDG), in this paper dashboard and multidimensional index were chosen as instruments for assessing and communicating progress made in implementation of SDG. Their contributions have been discussed for Brazil in the years 2000s. Brazil is a federation of 26 States and a Federal District. To take into consideration local differences, data were collected and examined on a State base. By using a dashboard of 13 dimensions, one for each of the selected SDG, as well as a multidimensional index, it was possible to outline a better description of progress made in each Brazilian State over the selected period, as well as to identify specific obstacles to sustainable development.
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Sánchez-Suárez, Yasniel, Verenice Sánchez-Castillo, and Carlos Alberto Gómez-Cano. "Dashboard for assessing patient flow management in hospital institutions." DYNA 91, no. 232 (May 9, 2024): 49–57. http://dx.doi.org/10.15446/dyna.v91n232.111259.
Повний текст джерелаАнотація:
Proactive control of hospital processes has a significant influence on patient performance and satisfaction. The objective of the research is to develop a dashboard for the evaluation of patient flow management in hospital institutions. Based on a descriptive quantitative study, a procedure is proposed for the development of a dashboard for the evaluation of patient flow management in hospital institutions, structured in five stages and nine steps, including procedures for the identification of key variables and aggregation of indicators. A dashboard was developed for the General Surgery service of a Clinical Surgical Teaching Hospital, which is composed of 18 indicators, six synthetic indexes and one comprehensive indicator. Among the positive implications for healthcare managers is the possibility of monitoring and comparing strategies with a process vision between different departments in support of proactive and strategic decision making in order to improve hospital performance.
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Gusnadi, Yance, and Aditiya Hermawan. "Designing Employee Performance Monitoring Dashboard Using Key Performance Indicator (KPI)." bit-Tech 2, no. 2 (December 30, 2019): 81–88. http://dx.doi.org/10.32877/bt.v2i2.107.
Повний текст джерелаАнотація:
Institutions or companies must indirectly be ready to face the era of digitalization in presenting company information, especially to see employee performance. Many companies have not used an application that can help in the process of monitoring employees so far. The problem that occurs is that the company has been monitoring the process using a Spreadsheet which consists of inputting employee performance and reporting employee performance results with a predetermined target. In the process it takes a long time and tools to assist in monitoring and measuring employee performance. Dashboard monitoring is designed using the Key Performance Indicator (KPI) method that will help management and then focus on performance aspects that are used as a measure of company performance, which in turn the dashboard application with KPI will facilitate division heads and managers in conducting the analysis process, monitoring and evaluation. From the results of this research, the use of dashboard monitoring can facilitate the user in monitoring and measuring the KPI of each employee.
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Barbazza, 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, no. 8 (August 6, 2021): e30200. http://dx.doi.org/10.2196/30200.
Повний текст джерелаАнотація:
Background Public web-based COVID-19 dashboards are in use worldwide to communicate pandemic-related information. Actionability of dashboards, as a predictor of their potential use for data-driven decision-making, was assessed in a global study during the early stages of the pandemic. It revealed a widespread lack of features needed to support actionability. In view of the inherently dynamic nature of dashboards and their unprecedented speed of creation, the evolution of dashboards and changes to their actionability merit exploration. Objective We aimed to explore how COVID-19 dashboards evolved in the Canadian context during 2020 and whether the presence of actionability features changed over time. Methods We conducted a descriptive assessment of a pan-Canadian sample of COVID-19 dashboards (N=26), followed by an appraisal of changes to their actionability by a panel of expert scorers (N=8). Scorers assessed the dashboards at two points in time, July and November 2020, using an assessment tool informed by communication theory and health care performance intelligence. Applying the nominal group technique, scorers were grouped in panels of three, and evaluated the presence of the seven defined features of highly actionable dashboards at each time point. Results Improvements had been made to the dashboards over time. These predominantly involved data provision (specificity of geographic breakdowns, range of indicators reported, and explanations of data sources or calculations) and advancements enabled by the technologies employed (customization of time trends and interactive or visual chart elements). Further improvements in actionability were noted especially in features involving local-level data provision, time-trend reporting, and indicator management. No improvements were found in communicative elements (clarity of purpose and audience), while the use of storytelling techniques to narrate trends remained largely absent from the dashboards. Conclusions Improvements to COVID-19 dashboards in the Canadian context during 2020 were seen mostly in data availability and dashboard technology. Further improving the actionability of dashboards for public reporting will require attention to both technical and organizational aspects of dashboard development. Such efforts would include better skill-mixing across disciplines, continued investment in data standards, and clearer mandates for their developers to ensure accountability and the development of purpose-driven dashboards.
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Attar, Zakky Al, Tien Fabrianti Kusumasari, and Rahmat Fauzi. "Pengembangan Sistem Dashboard untuk Mengevaluasi Platform E-Marketplace dengan Metode Scrum pada Startup GRAVIS." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 8, no. 3 (December 26, 2022): 536. http://dx.doi.org/10.26418/jp.v8i3.58782.
Повний текст джерелаАнотація:
Dalam pengelolaan sebuah bisnis, penjual perlu mengetahui kinerja tokonya dengan mengolah dan menganalisis data transaksi dengan pembeli menjadi sebuah informasi menggunakan Dashboard. Penggunaan dashboard cukup penting sehingga butuh studi lanjutan terkait evaluasi penggunaannya. Penelitian sebelumnya lebih banyak membahas pembuatan dan pengembangan aplikasi dashboard berbasis website dan mendiskusikan operasionalisasi dashboard pada lembaga pendidikan. Oleh karena itu penelitian ini berupaya memfokuskan pada aspek perusahaan rintisan. Penelitian ini akan difokuskan pengembangan dashboard menggunakan framework Laravel dengan metode pengembangan Scrum. Penelitian ini menggunakan model konseptual dan sistematika penyelesaian masalah sehingga tercipta sebuah aplikasi yang membantu e-Marketplace. Tujuan penelitian ini adalah (1) memahami KPI evaluasi platform GRAVIS. (2) memahami konsep arsitektur aplikasi dashboard platform GRAVIS. (3) mengembangkan dashboard untuk menyajikan informasi dalam bentuk visualisasi data. Hasil penelitian ini menunjukkan (1) Key performance indicator (KPI) yang digunakan meliputi enam belas poin utama. (2) Dashboard akan menampilkan informasi dengan gauge chart, line chart dan bar chart. (3) Hasil dari enam scenario black-box testing yang diujikan mendapatkan total sukses sebanyak enam scenario dan nol scenario gagal, maka dari itu hasil dari pengujian black-box testing selesai pada iterasi pertama.
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Ibrahim, Irma Irawati, and 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, no. 1 (May 31, 2012): 1. http://dx.doi.org/10.21512/commit.v6i1.563.
Повний текст джерелаАнотація:
Dashboard is a computer interface that displays a variety of charts, graphs, tables, which are selected reports from various data that are considered important to display rapidly, with an attractive appearance, dynamic, and relevant so that it can immediately be seen quickly to analyze a condition. Dashboard information system is widely used in various companies as a support system for decision-making where Dashboard usually displays data business trends of the company or the achievement of KPI (Key Performance Indicator) of a company. The method used is descriptive analysis by means of collecting information that areimportant for universities to be considered asthe Key Success Factors (KSF) of the university, and then, the design of the dashboard is made in accordance with these important factors.The result of this study is a grand design of information systems for the university performance monitoring, starting from the reception of students, faculty performance, student academic achievement, effectiveness and efficiency of services, including graduates. It is expected that by the time the system has been fully implemented, the university can take action quickly and accurately with respect to the required conditions.Keywords: Information System Dashboard; Dashboard; Academic Dashboard; University Dashboard
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Olney, Tom, Steve Walker, Carlton Wood, and 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, no. 3 (October 1, 2021): 45–59. http://dx.doi.org/10.18608/jla.2021.7261.
Повний текст джерелаАнотація:
Most higher education institutions view their increasing use of learning analytics as having significant potential to improve student academic achievement, retention outcomes, and learning and teaching practice but the realization of this potential remains stubbornly elusive. While there is an abundance of published research on the creation of visualizations, dashboards, and predictive models, there has been little work done to explore the impact of learning analytics on the actual practice of teachers. Through the lens of social informatics (an approach that views the users of technologies as active social actors whose technological practices constitute a wider socio-technical system) this qualitative study reports on an investigation into the practice of 30 tutors in the STEM faculty at Europe’s largest distance learning organization, The Open University UK (OU). When asked to incorporate learning analytics (including predictive learning analytics) contained in the Early Alert Indicator (EAI) dashboard during the 2017–2018 academic year into their practice, we found that tutors interacted with this dashboard in certain unanticipated ways and developed three identifiable “shadow practices”.
Дисертації з теми "Indicator dashboard"
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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.
Повний текст джерелаАнотація:
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.
Повний текст джерелаАнотація:
Mestrado Bolonha em Métodos Quantitativos para a Decisão Económica e EmpresarialEste 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.
Повний текст джерелаАнотація:
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Previous issue date: 2012-03-05The 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.
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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.
Повний текст джерелаАнотація:
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.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.
Повний текст джерелаАнотація:
Mestrado em Métodos Quantitativos para a Decisão Económica e EmpresarialO 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.
Повний текст джерелаАнотація:
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Previous issue date: 2014-02-25The 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.
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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.
Повний текст джерелаАнотація:
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.
Повний текст джерелаАнотація:
The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. This can be a time-consuming process that could be made more efficient through Business Intelligence (BI). BI is a technology that automatically, with the help of selected Key Performance Indicators (KPIs), shows the current status of how a business performs. This can allow managers and executives to make decisions easier and faster.This study examines which KPIs that are of common interest to companies and organizations in the construction industry as well as how these KPIs can be presented to the end users of a BI application. To investigate this, data is collected through literature studies and interviews, which results in a list of common KPIs for the industry. From this common list, a number of KPIs are selected to be visually represented.An analysis of the results, indicates that KPIs are of different importance and relevance depending on which sector of the construction industry the interviewee belongs to. There also appears to be sector-specific KPIs and the common list suggests that the profit margin is of great importance throughout the whole industry. KPIs can be represented in different types of charts and diagrams, depending on the purpose they hold, and should be designed so that they are intuitive and easy to understand.Bygg- och hantverksbranschen har stor möjlighet att effektivisera sin verksamhet ännu mer genom att i större utsträckning utnyttja den digitaliserade utvecklingen. Branschen använder idag mycket manuell datahantering och manuell dataanalys för att få en överblick över verksamheten och ta beslut. Detta kan vara en tidskrävande process, som skulle kunna effektiviseras ytterligare genom Business Intelligence (BI). BI är en teknologi som automatiskt, med hjälp av valda nyckeltal (KPI:er), visar aktuell status på hur en verksamhet presterar. Detta kan göra att beslutsfattare kan fatta beslut enklare och snabbare.Denna studie undersöker vilka nyckeltal som är av gemensamt intresse för företag och organisationer i byggoch hantverksbranschen samt hur dessa nyckeltal kan presenteras för slutanvändarna av en BI-applikation. För att ta reda på detta samlas data in genom litteraturstudier och intervjuer, vilket resulterar i en lista över gemensamma KPI:er i branchen. Ur denna lista handplockas ett antal nyckeltal ut för att representeras visuellt.En analys av resultaten indikerar att nyckeltal är av olika vikt och relevans, beroende på vilken sektortillhörighet av byggoch hantverksbranschen den intervjuade tillhör. Det verkar även finnas sektorspecifika KPI:er samt att listan med de branchgemensamma nyckeltalen antyder att vinstmarginal är av stor vikt. KPI:er kan representeras i olika typer av diagram beroende på vilket syfte de innehar och bör designas så att de är intuitiva och lättförståeliga.
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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.
Повний текст джерелаАнотація:
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.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%.
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.
Повний текст джерелаАнотація:
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.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.
Книги з теми "Indicator dashboard"
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Yee, Nick, and Nicolas Ducheneaut. Gamer motivation profiling: uses and applications. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0028.
Повний текст джерелаАнотація:
Gamers are not a monolithic group; gaming preferences and motivations vary in important ways among gamers. An empirical, validated model of gaming motivations provides a crucial methodological bridge between player preferences and their in-game behaviours, and, more importantly, engagement and retention outcomes. Instead of simply seeing on a key performance indicator dashboard that a certain percentage of gamers are leaving, a motivation model allows us to pinpoint why those gamers are leaving.
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Field, Clive D. Counting Religion in Britain, 1970-2020. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192849328.001.0001.
Повний текст джерелаАнотація:
Counting Religion in Britain, 1970–2020, the fourth volume in the author’s chronological history of British secularization, sheds significant new light on the nature, scale, and timing of religious change in Britain during the past half-century, with particular reference to quantitative sources. Adopting a key performance indicators approach, twenty-one facets of personal religious belonging, behaving, and believing are examined, offering a much wider range of lenses through which the health of religion can be viewed and appraised than most contemporary scholarship (which is typically confined to one or two measures). Summative analysis of these indicators, by means of a secularization dashboard, leads to a reaffirmation of the validity of secularization (in its descriptive sense) as the dominant narrative and direction of travel since 1970, while acknowledging that it is an incomplete process and without endorsing all aspects of the paradigmatic expression of secularization as a by-product of modernization. The appendix of 173 tables, a discrete statistical reference work in its own right, besides supporting (and being cross-referenced in) the main text, is designed as an extension to 2020 of the appendix of tables to 1970 in the acclaimed 1977 Clarendon Press volume Churches and Churchgoers: Patterns of Church Growth in the British Isles since 1700, by Robert Currie, Alan Gilbert, and Lee Horsley. As well as covering statistics generated by faith communities and the state, as did the 1977 book, the appendix to Counting Religion in Britain, 1970–2020 includes a wide variety of time series from national sample surveys.
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Rodgers, 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.
Повний текст джерелаАнотація:
In recent decades, the long arm of US politics has reached the intimate lives of women all over the world. Since 1984, healthcare organizations in developing countries have faced major cuts in US foreign aid if they perform or promote abortions as a method of family planning. The policy—commonly known as the global gag rule—is a hallmark of Republican administrations. The reinstatement and expansion of the global gag rule by Donald Trump in January 2017 caused a firestorm of debate. Proponents emphasize the importance of reducing abortions globally, while critics predict large increases in unsafe abortions and maternal mortality resulting from disruptions to family-planning services. How plausible are the various claims and projections? This question is surprisingly difficult to answer because there is little statistical evidence on the global gag rule. This book helps to fill the gap by conducting a systematic analysis of how the global gag rule affects women’s reproductive health across developing regions. The analysis yields three important messages: (1) in the majority of countries that receive US family-planning assistance, the global gag rule has failed to achieve its objective of reducing abortions; (2) there is no definitive relationship between restrictive national abortion laws and abortion rates; and (3) the 2017 expansion of the global gag rule will have adverse effects on a dashboard of health indicators for women, men, and children. These powerful messages should be heard by policymakers over the voices calling for an ideologically based policy that has counterproductive results.
Частини книг з теми "Indicator dashboard"
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Ahmad, Atezaz, Jan Schneider, and Hendrik Drachsler. "OpenLAIR an Open Learning Analytics Indicator Repository Dashboard." In 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.
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González-Martel, Christian, and José Manuel Cazorla-Artiles. "An Application of Open Data in Public Administrations: The Lanzarote Tourism Indicator Dashboard." In Marketing and Smart Technologies, 181–90. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9268-0_15.
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Ahmad, Atezaz, Ivaylo Ivanov Yordanov, Jane Yau, Jan Schneider, and Hendrik Drachsler. "A Trusted Learning Analytics Dashboard for Displaying OER." In Distributed Learning Ecosystems, 279–303. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38703-7_15.
Повний текст джерелаАнотація:
AbstractLearning Analytics (LA) consists of miscellaneous steps that include data harvesting, storing, cleaning, anonymisation, mining, analysis, and visualisation so that the vast amount of educational data is comprehensible and ethically utilisable by educators or instructors to obtain the advantages and benefits that LA can bring to the educational scene. These include the potential to increase learning experiences and reduce dropout rates. In this chapter, we shed light on OER repositories, LA, and LA dashboards and present an implementation of a research-driven LA dashboard for displaying OER and their repositories that allows the visualisation of educational data in an understandable way for both educators and learners. Moreover, we present an LA dashboard for displaying OER that shows information about the existing German OER repositories as part of our EduArc project located in Germany. The LA dashboard consists of multiple adopted indicators and metrics such as the number of reading sessions, duration of reading sessions, number of reading interruptions, number of learning activities, student attendance, and student grades. The details of the research methodology, including a literature review to create this dashboard, as well as the display items of the dashboard are presented and further elaborated.
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Khan, Arshad. "Key Performance Indicators." In Visual Analytics for Dashboards, 31–41. Berkeley, CA: Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0119-8_3.
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Borsari, Alice, Patrizia Lombardi, and Sara Torabi Moghadam. "Indicators and Scenarios for Sustainable Development at the Local Level." In The Urban Book Series, 61–70. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33894-6_5.
Повний текст джерелаАнотація:
AbstractCities around the world have faced the impact of the COVID-19 pandemic with unprecedented speed, due to our hyper-connected society. As history teaches us, epidemics plague society because of the vulnerabilities generated by humans through their relationships with the environment, with other species and with each other. The recent pandemic is a stark reminder that urbanization has changed the way people and communities live, work, and interact, and it is even more necessary than in the past to adopt a multidisciplinary approach to the development of systemic operational skills that can address complex issues within cities. This work showed how many measures adopted during the emergency have now become part of daily life. The lesson of the pandemic is that people’s health is connected to and dependent on the health of the planet, and cities are at the center of this relationship. The objective of the research starts from the need to identify a selection of post-COVID indicators providing an analysis methodology suitable for the creation of its own final set with the identification of specific key performance indicators (KPIs) of the project, replicable in other urban contexts, on which to base the analysis of the level of local sustainability, especially at the neighborhood scale. The proposed methodological framework is developed in two phases: (1) indicator selection and (2) baseline scenario, set out to investigate the existing correlations between the urban environment and the neighborhood level of cities. On the basis of the assessment of the KPIs, selected on the basis of numerous comparisons with the project's internal and external stakeholders, thanks to the creation of an interactive dashboard with Tableau software, it was possible to analyze the basic scenario of proximity at the neighborhood scale for the City of Turin, highlighting weak points and priority areas on which to act, experimenting with the theme “Inhabiting proximity” as an urban response to the pandemic.
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Lafortune, Guillaume, Santiago Gonzalez, and Zsuzsanna Lonti. "Government at a Glance: A Dashboard Approach to Indicators." In 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.
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Rocha, Sónia, Jorge Bernardino, Isabel Pedrosa, and Ilda Ferreira. "Dashboards and Indicators for a BI Healthcare System." In 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.
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Zouhri, Kamal, Saad Elouardirhi, and Abdellah Youssfi. "Developing a Dashboard for Evaluating Higher Education Indicators (in Morocco)." In 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.
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Person, Ron. "Identifying Critical Metrics and Key Performance Indicators." In 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.
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Staron, Miroslaw, Kent Niesel, and Wilhelm Meding. "Selecting the Right Visualization of Indicators and Measures – Dashboard Selection Model." In Software Measurement, 130–43. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_9.
Повний текст джерелаТези доповідей конференцій з теми "Indicator dashboard"
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L, Vidya Dharani, Manikanta K, Grace Anzel G, Sasi Kiran V, Srithar S, and Aravinth S. S. "Interactive Performance Indicator Dashboard for Modern Enterprise." In 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2022. http://dx.doi.org/10.1109/icacrs55517.2022.10029126.
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Bassin, Pooja, Abraham G K, and Srinath Srinivasa. "Design of a Data-driven Intervention Dashboard for SDG Localization." In 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.
Повний текст джерелаАнотація:
The localization problem of the United Nations Sustainable Development Goals (SDGs) involves adopting strategies that are in tune with local conditions, to achieve a given SDG target. However, even within a given region, localized conditions may vary drastically. With increasing amounts of Open Government Data (OGD) being available, there is an opportunity to systematically address the localization problem by using predictive and prescriptive modeling techniques. This work presents a predictive and prescriptive modeling dashboard for the SDG indicator maternal deaths (MD) for the Indian state of Karnataka. The dashboard was created by examining a vast set of data points to focus on four factors that showed high correlations with that of MD. We then construct a multivariate linear regression model to showcase the differential impact that a given factor has on the indicator and identify prescribed values for different factors to achieve a given target value of the indicator. Finally, a budget allocation dashboard is also provided that helps policymakers allocate budgets to specific schemes to help operationalize these changes. This dashboard was built by combining data coming from five different OGD sources.
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Komarudin, Muhamad, Suharno, Mardiana, Dikpride Despa, Hery Dian Septama, and Titin Yulianti. "Design of Key Performance Indicator Dashboard for Indonesian Higher Education based on One Data." In 2023 International Conference on Converging Technology in Electrical and Information Engineering (ICCTEIE). IEEE, 2023. http://dx.doi.org/10.1109/iccteie60099.2023.10366722.
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Primo, Camila Souza, Bernardo Melo Oliveria, Ioná Maria Rameh Barbosa, Vânia Soares de Carvalho, and Aida Araújo Ferreira. "VISUAL DATA PANEL AS AN ANALYSIS INSTRUMENT OF POLICIES / PROGRAMS TO PROMOTE THE RIGHTS OF PEOPLE WITH DISABILITIES IN PERNAMBUCO." In 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.
Повний текст джерелаАнотація:
This article aimed to create a visual data panel (dashboard), as an instrument for analyzing policies/programs to promote the rights of people with disabilities in Pernambuco municipalities. The ArcGIS Platform Dashboard tool was used to build the data panel. In order to carry out the research, data from the "Pesquisa de Informação Básicas Municipais -MUNIC", carried out in 2019 by the IBGE, was obtained and properly processed, in which it made available data regarding the existence of policies/programs to promote the rights of PCD in all municipalities in the country. Brazil, ArcGIS Pro was used for manipulation, in a Geographic Information System environment, and analysis of the data of the 33 items related to accessibility in the municipalities of Pernambuco portrayed in the research. These items provided subsidies for the calculation of the municipal performance indicator and several graphs, which are presented in the data panel created, clearly portraying the level of performance of the municipalities in relation to the subject studied. It was concluded that the ArcGIS Platform Dashboard tool proved to be an excellent alternative for creating a visual data panel and this, in turn, contributed to a better understanding of accessibility in the municipalities of Pernambuco, and can be used as an instrument to induce inclusive public policies.
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Sekáč, Peter. "Key Performance Indicators in the Context of Sustainable Business Development." In 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.
Повний текст джерелаАнотація:
KPI stands for key performance indicator. The name suggests, a corporate KPI is nothing more than an indicator that measures the performance of a particular business activity or area. There can be instantly find out from car's speedometer and other indicators on the dashboard. Well-chosen KPI combination will allow to run business effectively, not only provide information on how business is doing. but will be able to identify emerging issues in time, take corrective action and see at least a little bit into the future. With KPI, there can be tracked not only a company's financial results, but also performance in all other important areas, such as sales, marketing, manufacturing, customers, suppliers or employees. KPIs also differ depending on the different sectors and the nature of the activity (production / trade / services / logistics ...). Performance indicators can take various forms: absolute number (e.g. sales achieved in €), relative data (% sales growth), ratio (number of pieces produced per day), ranking or rating (customer satisfaction). From a global perspective, it is the goal of all initiatives addressing the issue sustainable development to correctly define the essence of sustainability, to formulate principles and measures to improve and maintain economic, social conditions from an environmental point of view, to set acceptable targets, to contribute with active interventions to fulfill them, but also to choose the right indicators, indices or other permanent measures sustainability.
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Le, Phat, Scott Olson, and Taylor Shie. "Communication and Mitigation Strategies Related to the Leading Indicator of Pressure Cycle Fatigue." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9555.
Повний текст джерелаАнотація:
Abstract Pressure cycle fatigue has been shown in industry to be a contributing factor to pipeline failure. There are methods for pressure cycle fatigue monitoring that can be used as a leading indicator for the risk of the pipeline to fatigue related failure. Once lines with high cycling are identified, the risk of the cycling to the asset and the mitigation strategies for the cycling can be discussed within the organization. By mitigating the driving force of crack initiation and grow to failure in-service, the pipeline community is safer. Shell Pipeline Company, LP. (SPLC) experienced two in-service failures on the same pipeline in under a year where fatigue was a common root cause. Following the investigation of these failures, management requested communication of the risk of pressure cycle fatigue throughout the organization with the intent to mitigate the levels of pressure cycling across the system. All pipelines were put on a monthly dashboard of pressure cycling and sent to all staff for awareness and action. The company measures pressure cycling on all pipelines by normalizing the number of cycles to 25% of the specified minimum yield strength (SMYS). From January 2016 to December 2019, the number of monthly cycles on the top ten highest cycled segments were reduced from 45,000 cycles per month, to 18,970 cycles. This is a reduction of 58%. The number of Very Aggressively cycled pipelines was reduced from 2 to 0. The number of Aggressively cycled pipelines were reduced from 13 to as low as 3. This paper will share the strategies and methodologies used to achieve these results. The paper will share how the list of highly cycled pipelines and the monthly status reports were developed. The paper will also share how pressure cycling mitigation strategies for pipeline systems were developed in collaboration with facility engineering, business unit leads, controllers, schedulers, and integrity staff. The effectiveness of mitigation methods such as pressure reduction, installation of back-pressure control valves, changing of valve timing on startup and shutdown, changes to the scheduling on the pipeline, utilization of flying switch between tankage, etc. will be discussed. By reducing pressure cycling, the risk of fatigue related failures can be reduced. This program is continuously being improved because there is both management commitment and ownership of the issue throughout the organization.
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Contreras Perez, David Rafael, and Amal Almehrzi. "Data Visualization Workflow an Alternative Procedure to Quality Check Static Grids." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211607-ms.
Повний текст джерелаАнотація:
Abstract Static grids are commonly an ensemble of millions of reservoir property values. Analyzing this vast dataset is a challenging task and is usually performed via simple statistical parameters (e.g arithmetic mean and standard deviation). The objective of this paper is to present a quick and efficient way of analyzing static model realization results in a more visual, interactive and efficient manner allowing a multidisciplinary team to absorb information and key ideas quickly. The proposed methodology starts with a set of properties from a given static grid realization. The data are prepared with all necessary labeling and categorization to be analyzed (e.g. reservoir and segment indicators, well regions etc.). All kinds of data variations available in the static model are gathered and mobilized into dynamic data dashboards for further analysis. The interactive data visualization templates provide flexibility to filter information either by categories or data ranges. The filtering schemes are immediately propagated to all available plots in the dashboard highlighting common patterns from all the data relationships in the static model. The principle output from this methodology is an interactive data visualization panel that displays all necessary infographics related to reservoir data-trends. Starting from simple rock quality pie-charts, which can be mapped showing field-wide trends, porosity-permeability plots, to more detailed infographics of property ranges per well/reservoir indicator as well as summary tables of average properties per reservoirs/layers/segments etc. The ability to have all plots linked in a single display provides a simple but powerful platform to evaluate and interrogate data from the static grid using different views. Data can be aggregated in different ways and summarized accordingly. With this continuous process of data filtering, it is possible to quickly identify outliers and collect evidence of data inconsistency within the static grid. The additional value of the presented approach is the ability to compare multiple property realizations in a single template and summarize similarities and differences between different static realizations. The implementation of reservoir property dashboards proved to be an effective practice to increase the understanding of distributed properties inside static grids. A more comprehensive and detailed data quality check can be performed in multiple properties using a single view of the structured dataset. Additionally once data is loaded into the data visualization platform it can be easily shared with team members without the need of any specialized modeling software.
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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.
Повний текст джерелаАнотація:
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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Amir, M. Mahamad, T. Nian Wei, R. Kamarul Bahrim, M. B. Mat Piah, R. D. Tewari, N. Kechut, A. Abdul Razak, N. Abdul Manaf, and E. Castillano. "Digital Twin for Oil Rim Management Using Early Warning System and Exception Based Surveillance, Offshore Malaysia." In Offshore Technology Conference Asia. OTC, 2024. http://dx.doi.org/10.4043/34863-ms.
Повний текст джерелаАнотація:
Abstract Effectively managing oil rim reservoirs poses significant challenges due to uncertainties in predicting oil rim movements. This leads to production losses, high gas-to-oil ratios (GOR), increased water cut, and the risk of losing the oil rim. To address these issues, a proof of concept for an early warning system was developed, utilizing innovative data analytics techniques and leveraging well data, such as pressure and temperature measurements, to detect changes in water cut as an indicator of oil rim movement. The workflow involves data extraction, pre-processing, regime detection, trend analysis, and exception-based surveillance with alerts. A selected oil-producing well with ample flow line pressure, temperature, and well test data was used to test the workflow. Pipesim modeling indicated a clear correlation between temperature and water cut, validated through sensitivity analysis at different GOR levels. The technology provides an integrated workflow covering data management, analytics, an event detection alert algorithm, and a visualization dashboard. It is not intended to replace existing oil rim management tools but serves as an additional decision support tool when reliable models are unavailable. The early warning system presented in this paper addresses the limitations of current methods by offering a proactive approach to detect fluid movements and mitigate production losses. By integrating novel data analytics techniques and utilizing readily available well data, operators can make informed decisions and take timely actions, improving the efficiency and effectiveness of oil rim management in petroleum operations. This technology serves as a valuable decision support tool in the absence of reliable models, ultimately enhancing the overall performance of oil rim management strategies.
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Arriaran Olalde, Iñigo, and Nagore Ipiña Larrañaga. "Indicators needed to design a student dashboard from lecturers’ perspectives: a qualitative study." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9415.
Повний текст джерелаАнотація:
The number of students’ enrolled in Higher Education online courses is increasing, and as a result, more data about their learning process is generated. The data produced can be displayed on a dashboard and help students in their learning process. However, lecturers’ perspective should be taken into account to define the indicators of the dashboard as the design of the courses could impact on the elements included on it. And that is precisely the aim of this paper: to define the indicators needed to design a student dashboard in online courses taking into account lecturers' perspectives. This study was carried out with 10 lecturers from the Faculty of Humanities and Education from Mondragon Unibertsitatea. Online qualitative questionnaires were used to gather participants’ perceptions. Results show that most of the lecturers participating in the research study identified four indicators to design a student dashboard: number of times students access the course forum, amount of contributions in the forum, number of times students consult the information booklet, and number of times each student has accessed the course in a week time. Conclusions drawn from this study highlight the importance of training lecturers and students on the pedagogical use of data visualization.
Звіти організацій з теми "Indicator dashboard"
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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.
Повний текст джерелаАнотація:
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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Edling, Laura, James Duncan, Alexandra Kosiba, and 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, June 2019. http://dx.doi.org/10.18125/l165vd.
Повний текст джерела
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Downing, Thomas E., John Colvin, Sarah Abdelrahim, Carmen Lacambra, Claudia Munera, Juan Lacambra, and Mirza Castro. A Prototype Monitoring, Learning and Evaluation Platform: Benchmarking Climate Resilience in the Private Sector for PROADAPT. Inter-American Development Bank, May 2016. http://dx.doi.org/10.18235/0006523.
Повний текст джерелаАнотація:
Monitoring project investments and progress toward climate resilience in the private sector requires extensions to the normal project-level indicators of output. Based on a conceptual framework of a continuum of adaptation in achieving resilience, a prototype Monitoring, Learning and Evaluation (MLE) platform requires co-learning with key stakeholders, benchmarking the toolkit in actual projects and brining together a robust toolkit. The methodology for designing a MLE platform for Proadapt, a review of existing approaches, and an initial dashboard are all covered here.
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Franco, Susana, Ander Sánchez, and James Wilson. Basque Country digital economy and society. DESI 2023. Edited by Patricia Canto. Universidad de Deusto, 2024. http://dx.doi.org/10.18543/npoq1853.
Повний текст джерелаАнотація:
This edition of the "Basque Country Digital Economy and Society Report. DESI 2023" has adapted the new methodology developed by the European Commission in the context of the Digital Decade to compare the performance of the Basque Country with that of the Member States of the European Union in a dashboard structured in 4 dimensions: (i) digital skills; (ii) digital infrastructures; (iii) digital transformation of enterprises; and (iv) digitalisation of public services. The results of the analysis show that the Basque Country has improved in all indicators, something that reflects the situation of continuous progress in which we find ourselves with respect to the digitalisation of our economy and society. However, improved indicators are a generalised trend in all territories and the positioning of the Basque Country relative to others, as well as the recent evolution in this positioning, presents a mixed and nuanced scenario in each of the dimensions.