Data science and business value: Insight into the alignment process

Rajesh Chidananda Reddy, Debasisha Mishra, D.P. Goyal and Nripendra P. Rana

Business Horizons, 2025, vol. 68, issue 5, 659-672

Abstract: We develop a comprehensive business–data-science alignment model for deriving business value from data-science initiatives, thus assisting business organizations in transforming digitally. With a purposive sample of 13 data science leaders employed as C-level executives, we conducted semistructured interviews to unfold their data-science journeys. Our study extends the findings from recent literature on the alignment between business and information technology to data-science initiatives. The alignment dimensions and their components are extracted through the interview transcripts using a general inductive approach. We propose a business–data-science alignment model as a dynamic and iterative process in which the data-science initiatives are shaped while aligning with intellectual, operational, social, cultural, and societal dimensions to derive business value. The five most relevant components represent each of these alignment dimensions. The study emphasizes the groundwork to be done before investing in data-science endeavors by capturing the findings from the literature and the wisdom of practitioners. With the proposed data-science alignment framework, our study offers ways to shape data-science projects by guiding business executives in achieving business value.

Keywords: Data science; Business alignment; Business value; Iterative processes; Experimental culture; Return on investment (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0007681324001253
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:bushor:v:68:y:2025:i:5:p:659-672

DOI: 10.1016/j.bushor.2024.09.002

Access Statistics for this article

Business Horizons is currently edited by C. M. Dalton

More articles in Business Horizons from Elsevier
Bibliographic data for series maintained by Catherine Liu ().