American International Journal of Research and Innovation

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Data-Driven Decision Making for Future Organizational Growth

Author(s) Alexandre Jacquillat
Country United States
Abstract The increasing availability of digital data has transformed organizational decision-making processes by enabling enterprises to move from intuition-based strategies toward evidence-based approaches. Data-driven decision making has emerged as a critical capability for organizations seeking sustainable growth, operational efficiency, and competitive advantage in rapidly changing business environments. This conceptual research article examines the role of data-driven decision-making approaches in supporting future organizational growth through advanced analytics, artificial intelligence, predictive modelling, and strategic information management.The study explores how organizations utilize data resources to improve planning, optimize operations, understand customer behaviour, and develop adaptive business strategies.
A conceptual research methodology is adopted based on the analysis of existing scholarly literature, business analytics frameworks, and digital transformation models. The findings indicate that effective data-driven decision making requires integration of technological capabilities, analytical skills, organizational culture, and responsible data governance.The study also identifies challenges related to data quality, cybersecurity, privacy concerns, analytical complexity, and resistance to organizational change. The research concludes that organizations capable of developing strong data intelligence capabilities will be better positioned to achieve innovation, resilience, and sustainable growth in future digital economies.
Keywords Data-Driven Decision Making; Business Analytics; Organizational Growth; Artificial Intelligence; Predictive Analytics; Digital Transformation; Strategic Management.
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-16
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AIJRI is 10.00000/AIJRI

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJRI
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@aijri.com