BigData oriented to business decision making: a real case study in constructel

• Published in: Computational and mathematical organization theory Vol. 28; no. 3; pp. 271 - 291
• Main Authors: Martins, Anthony, Abbasi, Maryam, Martins, Pedro, Sá, Filipe
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-09-2022; Springer Nature B.V
• Subjects: Anomalies; Artificial Intelligence; Availability; Business and Management; Case studies; Data warehouses; Decision analysis; Decision making; Flexibility; Graphs; Information management; Intelligence; Intelligence (information); Literature reviews; Management; Managers; Methodology of the Social Sciences; Operations Research/Decision Theory; Organization theory; Productivity; S.I. : WorldCIST’20; Sociology; Analytical methods; Data mart; Power BI; OLAP; Big data; Business intelligence; ETL; Data warehouse
• ISSN: 1381-298X; 1572-9346
• DOI: 10.1007/s10588-021-09330-3

Analyze and understand how to combine data warehouse with business intelligence tools, and other useful information or tools to visualize KPIs are critical factors in achieving the goal of raising competencies and business results of an organization The main objective of this paper is to present the development of a BI platform, using DW tools to create graphs and detailed reports for the Constructel company. The development of this work was thought and developed in stages, starting with the analysis of the theme, analyzing the literature review to support the case study; used tools; requirements gathering; architectural design; and ending with the development and implementation of a platform with dashboards and reports for the organization’s management. With the availability of this platform, it is intended that business managers will be able to identify solutions and anomalies in a more insightful and faster way, thus allowing to improve productivity and business quality, without neglecting the satisfaction of the organization’ internal employees, greater flexibility and availability so that managers can deal with other situations that are more technical and linked to the business itself.