Emergence and Evolution of Business Intelligence

EasyChair Preprint 15885

Abstract

For the last few decades, data has become increasingly available and valuable. As technology advances, organizations are looking into ways to harness the value of hidden patterns and insights within data. Capturing this value can enhance organizational success and give companies a competitive advantage in the market. Furthermore, data analysis can help organizations better understand their position and which direction they want to advance. Overall, the ultimate purpose of extracting value from data in business is to enhance the decision-making process. Data-driven decision-making results from business intelligence (BI), transforming data into information for making and acting upon those decisions. BI integrates business analytics and databases into analytical tools, applications, and methodologies. Today, the capabilities of BI are advancing at an astonishing rate, giving organizations opportunities to utilize and view data like never before. This paper aims to provide an overview of BI, its history, and its capabilities while examining existing literature to rationalize the integration and adoption of emerging BI trends.

Keyphrases: Business Intelligence, Business Management, data

@booklet{EasyChair:15885,
  author    = {William Pontius and Joseph Thomas},
  title     = {Emergence and Evolution of Business Intelligence},
  howpublished = {EasyChair Preprint 15885},
  year      = {EasyChair, 2025}}