BUSINESS INTELLIGENCE AS A DRIVER OF STRATEGIC DECISIONS IN SALES
DOI:
https://doi.org/10.56238/levv11n29-004Keywords:
Business Intelligence, Sales, Strategic Decision-making, Sales Forecasting, Analytical ManagementAbstract
This study examines the role of Business Intelligence in shaping strategic sales decisions by highlighting its relevance for accurate data interpretation, scenario projection, and the formulation of commercial actions aligned with competitive market dynamics. The research is grounded in a literature review, enabling a comprehensive understanding of concepts, analytical models, and practices that support the use of integrated information as a key resource for enhancing decision-making efficiency. Findings show that Business Intelligence improves indicator analysis, strengthens trend anticipation, enhances goal definition, and supports information governance, all of which are essential for constructing consistent commercial strategies. The results indicate that organizations that adopt analytical environments are better positioned to identify opportunities, reduce risks, refine forecasts, and optimize internal processes, thus establishing more solid competitive performance. The study also reveals that Business Intelligence contributes to integrating departments, standardizing metrics, improving internal communication, and grounding planning in verifiable evidence. It is concluded that the strategic application of this technology represents a significant advancement for companies seeking precise decisions aligned with consumer behavior and the demands of contemporary markets, enabling the development of management practices guided by data intelligence.
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ALASIRI, M. M.; SALAMEH, A. A. The impact of Business Intelligence (BI) and Decision Support Systems (DSS): exploratory study. International Journal of Management, v. 11, n. 5, p. 1001-1016, 2020. ALASIRI, M. M.; SALAMEH, A. A. The impact of Business Intelligence (BI) and Decision Support Systems (DSS): exploratory study. International Journal of Management, v. 11, n. 5, p. 1001-1016, 2020.
ASSAD, C. A. R. Using Business Intelligence Solutions for forecasting in Marketing Researches. International Journal of Informatics and Communication Technology, v. 8, n. 2, 2019. DOI: https://doi.org/10.11591/ijict.v8i2.pp102-110
CHUMMUN, B. Z.; SINGH, A. Factors Influencing the Quality of Decision-Making Using Business Intelligence in a Metal Rolling Plant in KwaZulu-Natal. Journal of Reviews on Global Economics, v. 8, p. 1108-1120, 2019. DOI: https://doi.org/10.6000/1929-7092.2019.08.96
DJERDJOURI, M. Data and Business Intelligence Systems for Competitive Advantage: prospects, challenges, and real-world applications. Mercados y Negocios, n. 41, 2020. DOI: https://doi.org/10.32870/myn.v0i41.7537
GIL, A. C. Métodos e técnicas de pesquisa social. 7. ed. São Paulo: Atlas, 2019.
ISHII, Robson Akio. A utilização de software de Business Intelligence para tomada de decisão para gerar aumento de vendas e crescimento no mercado online : estudo de caso ecommerce de peças automotivas. Curitiba: Universidade Federal do Paraná, 2017.
LAKATOS, E. M.; MARCONI, M. A. Fundamentos de metodologia científica. 8. ed. São Paulo: Atlas, 2017.
PUSPITA, P. E.; İNKAYA, T.; AKANSEL, M. Clustering-based Sales Forecasting in a Forklift Distributor. International Journal of Engineering Research and Development, v. 11, n. 1, p. 25-40, 2019. DOI: https://doi.org/10.29137/umagd.473977
TATIĆ, K.; DŽAFIĆ, Z.; HARAČIĆ, M.; HARAČIĆ, M. The use of Business Intelligence (BI) in Small and Medium-sized Enterprises (SMEs) in Bosnia and Herzegovina. Economic Review: Journal of Economics and Business, v. 16, n. 2, p. 23-37, Nov. 2018.
VIZGAITYTĖ, G.; SKYRIUS, R. Business Intelligence in the Process of Decision Making: changes and trends. Ekonomika, v. 91, n. 3, p. 147-157, 2012. DOI: https://doi.org/10.15388/Ekon.2012.0.881