Engineering and Technology | Open Access | DOI: https://doi.org/10.37547/tajet/Volume06Issue10-14A

NAVIGATING BUSINESS INTELLIGENCE TOOLS: STRATEGIES TO DRIVE BUSINESS GROWTH

Abstract

This study explores the evolution and current state of business intelligence (BI) tools and their strategic role in driving business growth. The research utilizes a combination of market analysis, industry case studies, and theoretical frameworks, including the DIKW hierarchy and Resource-Based View, to examine BI adoption trends. The results highlight the importance of data quality, cross-functional collaboration, and user adoption in maximizing BI effectiveness. Key findings indicate that cloud-based and self-service BI tools significantly improve data-driven decision-making, while challenges remain in data governance and integration. To address these challenges, organizations must implement robust data policies and empower users through training and self-service capabilities. The study concludes that integrating BI tools into digital transformation initiatives provides a competitive edge, enabling strategic planning, operational efficiency, and innovation. This research offers new insights into how organizations can leverage BI tools for sustained growth and enhanced decision-making.

ZENODO DOI:- https://doi.org/10.5281/zenodo.13980984

Keywords

Business intelligence, Business analytics, Software as a Service (SaaS)

References

Turban, E., Sharda, R., Delen, D., & King, D. (2011). Business Intelligence: A Managerial Approach (2nd ed.). Pearson.

Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. Harvard Business School Press.

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

Olszak, C. M., & Ziemba, E. (2007). The role of business intelligence in organizational decision making. Issues in Informing Science & Information Technology, 4, 295-302.

Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188.

Leventhal, A. (2020). Business intelligence: Driving innovation and reducing costs. Information Systems Management, 37(3), 217-228. https://doi.org/10.1080/10580530.2020.1770108

Rialti, R., Zollo, L., Ferraris, A., & Alon, I. (2021). Business intelligence and analytics in small and medium enterprises: A systematic literature review. Small Business Economics, 57(4), 1361-1380.

Davenport, T. H., Harris, J. G., & Morison, R. (2017). Analytics at work: Smarter decisions, better results. Harvard Business Review Press.

Mason, H., & Patil, D. (2015). Data-driven: Creating a data culture. O'Reilly Media.

McKinsey & Company. (2023). How to unlock the full value of data: Manage it like a product. Retrieved from https://www.mckinsey.com/capabilities/quantumblack/our-insights/how-to-unlock-the-full-value-of-data-manage-it-like-a-product#/

Statista. (2021). Volume of data/information created, captured, copied, and consumed worldwide from 2010 to 2020, with forecasts from 2021 to 2025. Retrieved from: https://www.statista.com/statistics/871513/worldwide-data-created/#:~:text=Amount%20of%20data%20created%2C%20consumed,2020%2C%20with%20forecasts%20to%202025&text=The%20total%20amount%20of%20data,home%20entertainment%20options%20more%20often

HG Insights. (2024). Business intelligence market landscape in 2024. Retrieved from: https://hginsights.com/market-reports/business-intelligence-market-landscape-in-2024

Harvard Business Review. (2013). How Google sold its engineers on management. Retrieved from: https://hbr.org/2013/12/how-google-sold-its-engineers-on-management

DevSquad. (2023). SaaS statistics: Key numbers you need to know. Retrieved from https://devsquad.com/blog/saas-statistics

Productiv. (2024). State of SaaS. Benchmark your business and learn about the evolving world of SaaS. Retrieved from: https://productiv.com/state-of-saas#growth

Download and View Statistics

Views: 0   |   Downloads: 0

Copyright License

Download Citations

How to Cite

Logunova , I. (2024). NAVIGATING BUSINESS INTELLIGENCE TOOLS: STRATEGIES TO DRIVE BUSINESS GROWTH. The American Journal of Engineering and Technology, 6(10), 126–133. https://doi.org/10.37547/tajet/Volume06Issue10-14A