Authors:
Thin Zar Aung, Hlaing Htake Khaung Tin, Femmy Effendy, Pirnazarov Nurnazar, Azlin Abd Jamil, Anurag Hazarika

Addresses:
Faculty of Information Science, University of Information Technology, Yangon, Yangon Region, Myanmar. Faculty of Economics and Business, Universitas Nusa Mandiri, Jakarta, Indonesia. Department of Social Sciences, Sarbon University, Street of the School of Medicine, Paris, France. Faculty of Management, Universiti Teknologi Malaysia (UTM), Johor Bahru, Johor, Malaysia. Department of Management, Global Interfaith University, Lewes, Delaware, United States of America.

Abstract:

The research examines the literature to demonstrate how decision support is enhanced by analytics, the organisation's tempo is accelerated, and risk is reduced. The research finds that descriptive and predictive analytics are prevalent in strategic and operational decision-making. The paper notes issues related to data quality, integration, and privacy. It recommends that integrating data analytics and business information systems should be the hallmark of organisations seeking a competitive advantage in the digital economy. Business Information Systems (BIS) are indispensable to the digital economy, providing organisations with the enabling foundation for conducting business operations, measuring performance, and supporting both routine and strategic decision-making. Initially, BIS focused on efficiently storing, managing, and retrieving data, helping companies rationalise processes and improve reporting accuracy. Though these remain relevant in many ways, the current business world is characterised by a level of complexity that differs from that of the past. Factors such as globalisation, rapid technological advancement, fierce competition, and the sheer volume of data being generated call for firms to move beyond traditional data management methods. In this case, data should no longer be seen merely as a by-product of operations, but as a critical resource that defines success.

Keywords: Business Information Systems (BIS); Data Analytics; Decision-Making Process; Predictive Analytics; Reporting Accuracy; Technological Advancement; Data Management.

Received on: 15/10/2025, Revised on: 08/12/2025, Accepted on: 25/01/2026, Published on: 19/08/2026

DOI: 10.69888/FTSFDS.2026.000742

FMDB Transactions on Sustainable Finance and Data Science, 2026 Vol. 1 No. 3, Pages: 162-171

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