Business Intelligence Challenges and How to Handle Them
  IJCTT-book-cover
 		          
 
© 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, https://doi.org/10.14445/22312803/IJCTT-V71I5P106

Abstract
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.

Keywords
Business intelligence, Challenges and Problems.

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