Business Intelligence (BI) and Analytics Software: Empowering Data-Driven Decision-Making

EasyChair Preprint 12550

Abstract

In today's rapidly evolving business landscape, organizations face immense challenges in harnessing the power of data to gain a competitive edge. Business Intelligence (BI) and Analytics software has emerged as a critical tool in this endeavor, enabling enterprises to transform vast amounts of raw data into meaningful insights for informed decision-making. This abstract explores the significance of BI and Analytics software in the business realm, highlighting its key features, benefits, and impact on organizational success.

The abstract begins by providing an overview of BI and Analytics software, outlining its fundamental purpose to collect, analyze, and visualize data from various sources. It emphasizes the importance of data integration, data quality management, and data governance in ensuring the accuracy and reliability of the insights generated. The abstract further highlights the role of advanced analytics techniques such as data mining, predictive modeling, and machine learning in uncovering hidden patterns, predicting trends, and optimizing business processes.

Next, the abstract delves into the transformative impact of BI and Analytics software on decision-making. It elucidates how these tools empower decision-makers by providing real-time, actionable insights into key performance indicators, market trends, customer behavior, and operational efficiency. The abstract also discusses the role of data visualization and interactive dashboards in facilitating intuitive data exploration and enhancing decision-making capabilities across organizational hierarchies.

Keyphrases: Business, Economics, Entrepreneurship

@booklet{EasyChair:12550,
  author    = {Favour Olaoye and Kaledio Potter},
  title     = {Business Intelligence (BI) and Analytics Software: Empowering Data-Driven Decision-Making},
  howpublished = {EasyChair Preprint 12550},
  year      = {EasyChair, 2024}}