Developing Integrated Performance Dashboards Visualisations Using Power BI as a Platform

Author:

Gonçalves Célia Talma1,Gonçalves Maria José Angélico2ORCID,Campante Maria Inês3

Affiliation:

1. CEOS.PP, ISCAP, Polytechnic of Porto, LIACC University of Porto, 4200-465 Porto, Portugal

2. CEOS.PP, ISCAP, Polytechnic of Porto, OSEAN, University of Madeira, 4465-004 Porto, Portugal

3. ISCAP, Polytechnic of Porto, 4465-004 Porto, Portugal

Abstract

The rapid advance of business technologies in recent years has made knowledge an essential and strategic asset that determines the success or failure of an organisation. Access to the right information in real time and with high selectivity can be a competitive advantage in the business environment. Business intelligence systems help corporate executives, business managers, and other operational workers make better and more informed business decisions. This study aimed to assess the impact of using business intelligence tools on the decision-making process in organisations, specifically in sales marketing. The methodology applied to realise the study’s objective was the Vercellis methodology. A set of data available on the sales marketing website SuperDataScience was used to implement a set of pressing KPIs for the business decision-making process in the area. Using these data, a complete business intelligence system solution was implemented. A data warehouse was created using the ETL (extract–transform–load) process, and the data were then explored using a set of dynamics dashboards with a view of the business metrics. The results showed the use of business intelligence systems that allow the integration and transformation of data from various sources stored in data warehouses, where it is possible to implement KPIs and carry out quick, concise, easy-to-interpret graphical analyses. This paper contributes to a better understanding of the importance of data-integrated dashboard visualisation for the decision-making process.

Funder

Portuguese national funds through FCT—Fundação para a Ciência e Tecnologia

Publisher

MDPI AG

Subject

Information Systems

Reference50 articles.

1. Technology for Better Business in Society;Kumar;Int. J. Philos. Lang. IJPL,2022

2. Moss, L.T., and Atre, S. (2003). Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications, Addison-Wesley Professional.

3. Jaswal, S. (2021). Impacts and Challenges of Cloud Business Intelligence, IGI Global.

4. (2023, October 14). Business Intelligence: The Impact on Decision Support and Decision Making Processes. Available online: https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A3599&dswid=-8312.

5. Psarommatis, F., Danishvar, M., Mousavi, A., and Kiritsis, D. (2022). Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing. IEEE Trans. Eng. Manag., 1–13.

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