ARCHIVES
Maturity Models for Business Intelligence: An Overview
¹ Department of management studies, University of Kashmir, Jammu & Kashmir, India. ² College of Engineering and Computing, American University of Bahrain, Bahrain.
Published Online: January-April 2025
Pages: 13-16
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250401003Growing technological progressions have given rise to many issues concerning the contemporary decision making in business, which is a difficult phenomenon without understanding the intricacies of business intelligence. In today’s world organizations require measurement of their business value and comparison with similar systems in other companies. Maturity models specify tiers of clarity, effectiveness, controllability, and assessment of the observed environment. This paper briefly describes the different maturity models that can be used for the maturity of Business Intelligence (BI) systems assessment.
Related Articles
2025
Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions
2025
Exploring AI Techniques for Quantum Threat Detection and Prevention
2025
Maturity Models for Business Intelligence: An Overview
2025
INSPIRO: An AI Driven Institution Auditor
2025
Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems
2025
Predictive Modeling for College Admission Using Machine Learning and Statistical Methods
2025
Restaurant Table Reservation with Food Ordering
2025
A IoT-Driven Smart Commerce: Redefining Consumer Experience and Operational Efficiency in E-Commerce Platforms
2025
Agricultural Products: CVF Yield Prediction Using Ensemble Methods and Machine Learning Models
2025
Identifying and Forecasting Wastewater Pollutions Wring IOT & NLP


