Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)

The Impact of Business Analytics on the Quality of Data-Driven Decision-Making and Firm Performance

Authors
Yanjing Wang1, *
1Clark University, Worcester, MA, 01610-1477, USA
*Corresponding author. Email: wangyanjing2026@163.com
Corresponding Author
Yanjing Wang
Available Online 22 December 2025.
DOI
10.2991/978-94-6463-916-2_43How to use a DOI?
Keywords
Business Analytics; Data-Driven Decision-Making; Firm Performance; Big Data; Decision Quality; Strategic Management
Abstract

In today’s enterprise environment where unprecedent data volumes and volatile markets are becoming more the norm than the exception, making informed, on-time decision is no longer an option, but a requirement for a long-term competitive advantage. Data-driven decision making (DDDM) is an imperative paradigm, but many corporations find it hard to change their massive data repositories into usable insights and decision outcomes. This paper looks at the main role BA (Business Analytics) plays as a strategic ability that links raw data and good decisions. We assert that the effect of BA does not a direct influence on firm performance but rather it depends on an enhancement in the overall quality of decision making on several dimensions:that is accurate, timely, relevant and actionable. The paper combines existing literature to create a holistic conceptual model that explains how BA affects decision quality and, as a result, organizational outcomes. The building blocks of BA range from descriptive to predictive to prescriptive analytics; this progression explains how those different tools and techniques make it possible for managers to stop depending on their gut feeling, which is often very misleading. Additionally, the paper touches on some common issues in BA implementation, such as defining data ownership, recruiting qualified personnel, and shifting organizational mindsets. The paper also puts forward a multi-stage maturity model to assess an organization’s analytical capability. By showing the direct link between adopting BA, better decisions, and greater success for the company, this piece gives good ideas for experts and scholars, pointing out the need for a complete, strategic view to grow a culture of data. It claims that investing in BA isn’t just about making a tech change, it’s crucial to an organization’s transformation – needed to move through complex eco systems in the modern market and get a strong edge.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
22 December 2025
ISBN
978-94-6463-916-2
ISSN
2352-5428
DOI
10.2991/978-94-6463-916-2_43How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yanjing Wang
PY  - 2025
DA  - 2025/12/22
TI  - The Impact of Business Analytics on the Quality of Data-Driven Decision-Making and Firm Performance
BT  - Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)
PB  - Atlantis Press
SP  - 392
EP  - 399
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-916-2_43
DO  - 10.2991/978-94-6463-916-2_43
ID  - Wang2025
ER  -