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

Author

Listed:
  • Anthony Martins

    (CISeD Research Centre in Digital Services, Polytechnic of Viseu)

  • Maryam Abbasi

    (CISUC - Centre for Informatics and Systems of the University of Coimbra)

  • Pedro Martins

    (CISeD Research Centre in Digital Services, Polytechnic of Viseu)

  • Filipe Sá

    (CISeD Research Centre in Digital Services, Polytechnic of Viseu)

Abstract

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.

Suggested Citation

  • Anthony Martins & Maryam Abbasi & Pedro Martins & Filipe Sá, 2022. "BigData oriented to business decision making: a real case study in constructel," Computational and Mathematical Organization Theory, Springer, vol. 28(3), pages 271-291, September.
    • Handle: RePEc:spr:comaot:v:28:y:2022:i:3:d:10.1007_s10588-021-09330-3
    DOI: 10.1007/s10588-021-09330-3
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    References listed on IDEAS

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    1. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    2. Georgia Garani & Sven Helmer, 2012. "Integrating Star and Snowflake Schemas in Data Warehouses," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 8(4), pages 22-40, October.
    3. Sandro Bimonte & Omar Boussaid & Michel Schneider & Fabien Ruelle, 2019. "Design and Implementation of Active Stream Data Warehouses," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 15(2), pages 1-21, April.
    4. Steven Ji-fan Ren & Samuel Fosso Wamba & Shahriar Akter & Rameshwar Dubey & Stephen J. Childe, 2017. "Modelling quality dynamics, business value and firm performance in a big data analytics environment," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5011-5026, September.
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