Business Intelligence Challenges and How to Handle Them

© 2023 by IJCTT Journal
Volume-71 Issue-5
Year of Publication : 2023
Authors : Kshitiz Nayyar
DOI :  10.14445/22312803/IJCTT-V71I5P106

How to Cite?

Kshitiz Nayyar, "Business Intelligence Challenges and How to Handle Them," International Journal of Computer Trends and Technology, vol. 71, no. 5, pp. 37-39, 2023. Crossref,

Business Intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business purposes. It involves using tools and techniques such as data mining, data warehousing, and reporting to make informed decisions and support better strategic planning, performance optimization, and operational effectiveness. BI aims to provide a complete picture of the organization's performance and enable data-driven decision-making. There are a number of business intelligence difficulties that hamper attempts to make BI processes efficient, effective, and relevant as organizations of all kinds scramble to make sense of the vast amounts of data they are gathering. "Diverse data infrastructures, data management concerns", new forms of BI capabilities, and various degrees of data literacy across the workforce all contribute to the difficulties. The business intelligence (BI) team has a double responsibility: first, they must guarantee that adequate "data governance and security safeguards" are in place; second, they must show how BI can help employees, including those with less documentation.

Business intelligence, Challenges and Problems.


[1] Dalia Suša Vugec et al., “Business Intelligence and Organizational Performance: The Role of Alignment with Business Process Management,” Business Process Management Journal, vol. 26, no. 6, pp.1709-1730, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Katerina Božič, and Vlado Dimovski, “Business Intelligence and Analytics for Value Creation: The Role of Absorptive Capacity,” International Journal of Information Management, vol. 46, pp. 93-103, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Patrick Mikalef et al., “Big Data and Business Analytics: A Research Agenda for Realizing Business Value,” 2019.
[Google Scholar] [Publisher Link]
[4] Kevin Daniel Andre Carillo et al., “How to Turn Managers into Data-driven Decision Makers: Measuring Attitudes towards Business Analytics,” Business Process Management Journal, vol. 25, no. 3, pp. 553-578, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Arafat Salih Aydiner et al., “Business Analytics and Firm Performance: The Mediating Role of Business Process Performance,” Journal of Business Research, vol. 96, pp. 228-237, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Katerina Lepenioti et al., “Prescriptive Analytics: Literature Review and Research Challenges,” International Journal of Information Management, vol. 50, pp. 57-70, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Cindi Howson, Unlock the Value of BI and Big Data, 2013.
[8] Swain Scheps, Business Intelligence for Dummies, Dummies, 2008.
[9] David Sumpter, The Ten Equations that Rule the World: And How You Can Use Them Too, Allen Lane, 2020.
[10] Jeremy M. Kolb. Business Intelligence in Plain Language: A Practical Guide to Data Mining and Business Analytics, 2013.
[11] Gregory P. Steffine, Hyper: Changing the way you think about, Plan and Execute Business Intelligence for Real Results, Real Fast, Sanderson Press, 2015.
[Google Scholar]
[12] Brian Knight et al., Microsoft Power BI Complete Reference: Bring your data to life with the powerful features of Microsoft Power BI, Packt Publishing Ltd., 2018.
[Google Scholar]
[13] Joshua N. Milligan, Business Intelligence and Data Visualization that Brings your Business into Focus, 2nd Edition, Packt Publishing, 2016.
[Google Scholar]
[14] Dona M. Wong, The Wall Street Journal Guide to Information Graphics: The Dos and Don’ts of Presenting Data, Facts and Figures, Dow Jones and Company, 2010.
[Google Scholar]
[15] Brian Larson, Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, McGraw Hill, 2016.
[16] Dursun Delen, Ramesh Sharda, and Efraim Turban, Business Intelligence and Analytics: Systems for Decision Support, (10th Edition), Pearson Education, 2018.
[17] Michael Alexander, Jared Decker, and Bernard Wehbe, Microsoft Business Intelligence Tools for Excel Analysts, John Wiley & Sons, Inc., 2014.
[Google Scholar]
[18] Steve Williams, and Nancy Williams, The Profit Impact of Business Intelligence, Elsevier, 2007.
[Google Scholar]
[19] Barry Devlin, Business Unintelligence: Insight and Innovation beyond Analytics and Big Data, Technics Publications, LLC New Jersey, 2013.
[Google Scholar]