THE USE OF DATA ANALYTICS IN DECISION-MAKING IN MID-SIZED COMPANIES

Authors
  • Sardorbek Yunusaliyev

    Author
Keywords:
Data analytics, decision-making, financial management, mid-sized companies, business performance, financial forecasting, data-driven strategy, business intelligence
Abstract

This study examines the role of data analytics in improving financial decision-making in mid-sized companies. In modern business environments, organizations generate large volumes of data that can support more accurate and timely decisions when properly analyzed (IBM, n.d.; Davenport & Harris, 2017). The research adopts a qualitative approach based on existing literature to explore the application of analytics in budgeting, forecasting, and cost control. The findings show that even basic analytical tools can improve decision-making quality and business performance. However, challenges such as limited resources and lack of expertise still affect effective implementation.

References

1. IBM. (n.d.). What is data analytics?https://www.ibm.com/topics/data-analytics

2. Provost, F., & Fawcett, T. (2013).Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking. O'Reilly Media.

3. Davenport, T. H., & Harris, J. G. (2017).Competing on Analytics: The New Science of Winning. Harvard Business Review Press.

4. McKinsey & Company. (2021).The data-driven enterprise of 2025.

https://www.mckinsey.com

5. Shmueli, G., Bruce, P. C., Gedeck, P., & Patel, N. R. (2017).Data Mining for Business Analytics: Concepts, Techniques, and Applications. Wiley.

6. Brynjolfsson, E., & McElheran, K. (2016).The rapid adoption of data-driven decision-making. American Economic Review, 106(5), 133–139.

Cover Image
Downloads
Published
2026-04-15
Section
Articles