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Strategic Insights: Navigating Business Intelligence Implementation - Phases, Tasks, and Risks: A Case Study on an International Manufacturing Company

Author

Listed:
  • Klaudia Hillebrandt-Szymanska
  • Dorota Piotrowska
  • Artur Blaszczyk
  • Jakub Statucki

Abstract

Purpose: This article aims to present a comprehensive case study of implementing a business intelligence system in the manufacturing company. Therefore, a comprehensive understanding of key implementation aspects and associated risks is vital for meticulous planning before investing in information systems. Design/Methodology/Approach: Through qualitative research, the study will identify the main implementation phases, assign key tasks, and highlight the potential risks encountered during the process. By examining the case study, readers can gain insights into the effective implementation of a business intelligence system in manufacturing company, enabling them to better navigate similar ventures a significant input for researchers to create an implementation model. Findings: Having accurate and timely information is a crucial asset for businesses, influencing their competitive advantage. Information is essential for decision-making, enabling organizations to identify opportunities, threats, strengths, weaknesses, and changes. Business Intelligence (BI) solutions cater to these needs by automatically transforming data into actionable information. However, due to the wide array of tools available in the market, the implementation process of BI can be complex. Practical Implications: The findings from this article's case study can serve as a foundation for proposing an implementation model for business intelligence systems. Originality/Value: By analyzing the challenges, key phases, and risks identified in the case study, future research can develop a structured framework or model that outlines the necessary steps, considerations, and best practices for implementing BI systems specifically tailored to manufacturing industries.

Suggested Citation

  • Klaudia Hillebrandt-Szymanska & Dorota Piotrowska & Artur Blaszczyk & Jakub Statucki, 2023. "Strategic Insights: Navigating Business Intelligence Implementation - Phases, Tasks, and Risks: A Case Study on an International Manufacturing Company," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 865-888.
    • Handle: RePEc:ers:journl:v:xxvi:y:2023:i:4:p:865-888
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    References listed on IDEAS

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    1. Yili Chen & Congdong Li & Han Wang, 2022. "Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)," Forecasting, MDPI, vol. 4(4), pages 1-20, September.
    2. Kanika Chaudhry & Sanjay Dhingra, 2021. "Modeling the Critical Success Factors for Business Intelligence Implementation: An ISM Approach," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 12(2), pages 1-21, July.
    3. Adriana Grigorescu & Daniela Baiasu & Razvan Ion Chitescu, 2020. "Business Intelligence, the New Managerial Tool: Opportunities and Limits," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 651-657, August.
    4. Carlos Andrés Tavera Romero & Jesús Hamilton Ortiz & Osamah Ibrahim Khalaf & Andrea Ríos Prado, 2021. "Business Intelligence: Business Evolution after Industry 4.0," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Business Intelligence software; implementation procedure; decision support systems; manufacturing company management; data-oriented systems.;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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