Longitudinal Analysis of Business Value from Data-Driven Decision Making

doi:N/A

eISSN: 2202-4859 / ISSN: None

Revenue Law Journal

2026, Volume 32, ISSUE 2 : 1-3

Research Article

Longitudinal Analysis of Business Value from Data-Driven Decision Making

Adrian L. Mercer

Sophia R. Delgado

Ethan M. Clarke

Department of Information Systems, Northshore Institute of Technology, Seattle, USA

School of Business Analytics, European Centre for Management Research, Berlin, Germany

Centre for Digital Strategy and Innovation, Royal Metropolitan University, London, UK

Abstract

This study presents a ten-year longitudinal examination of how data-driven decision making (DDD) contributes to business value across industries. Using a mixed-method approach combining archival datasets, executive surveys, and case studies from 2014–2024, the article evaluates financial performance, operational efficiency, strategic adaptability, and organizational culture. The findings demonstrate that companies adopting DDD experienced measurable improvements in productivity (14–28%), revenue growth (5–12%), and decision-cycle reduction (35–60%). The research highlights patterns of value realization, temporal variance in analytics maturity, and the evolving role of AI-augmented decision models. Practical implications are offered for firms seeking long-term value creation through systematic data use.

Keywords

Data-driven decision making

Longitudinal analysis

Business value

Analytics maturity

AI adoption

Digital transformation

Organizational performance.

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