TITLE:
Business Analytics in the Era of Big Data: Driving Informed Decision-Making
AUTHORS:
Md Ekramul Hoque, Bilkish Nurani, Niladry Chowdhury, Md Saidur Rahaman, Md Minhajul Amin
KEYWORDS:
Business Analytics, Decision-Making, Data Visualization, Predictive Analytics, Machine Learning, Big Data, Sector Adoption, Effectiveness of Tools
JOURNAL NAME:
Open Access Library Journal,
Vol.12 No.1,
January
31,
2025
ABSTRACT: Business Analytics (BA) has become a transformative tool in driving data-informed decision-making across industries. This study explores the adoption rates, impact on decision-making, and the effectiveness of BA tools in diverse sectors, including finance, retail, healthcare, manufacturing, and telecommunications. It highlights key trends in BA adoption, analyzes its impact on decision-making processes, and evaluates the effectiveness of popular tools such as data visualization, predictive analytics, machine learning, and big data processing. Furthermore, it examines the reduction in decision-making time due to BA implementation. The findings indicate significant improvements in decision-making efficiency and effectiveness across all sectors, though the degree of adoption and impact varies. This paper provides actionable insights for organizations aiming to optimize their use of BA tools to achieve strategic objectives.