Enterprise Business Intelligence (BI) Reporting Implementation: A Comprehensive Guide with AI Integration

Implementing an effective Enterprise Business Intelligence (BI) reporting solution requires a structured approach from requirements gathering to deployment. This article outlines the best practices for starting the implementation journey, identifying key pain points, and developing a methodical plan that supports all major BI reporting platforms. The proposed methodology covers requirement gathering, analysis, solution design, implementation, unit testing, code review, evaluation, obtaining sign-offs, and deployment planning. By integrating Artificial Intelligence (AI) throughout the process, automation, data-driven insights, and enhanced performance are achieved. This comprehensive checklist-driven approach ensures successful project delivery and optimal business outcomes.

Authors

Publication Details

Journal
Scholars Journal of Engineering and Technology
Published
2025-04-19
DOI
https://doi.org/10.36347/sjet.2025.v13i04.004
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Enterprise Business Intelligence (BI) Reporting Implementation: A Comprehensive Guide with AI Integration

Penta Rao Marapatla
1 links
Scholars Journal of Engineering and Technology
Big Data and Business Intelligence
article

Enterprise Business Intelligence (BI) Reporting Implementation: A Comprehensive Guide with AI Integration

Penta Rao Marapatla
article en

Abstract

Implementing an effective Enterprise Business Intelligence (BI) reporting solution requires a structured approach from requirements gathering to deployment. This article outlines the best practices for starting the implementation journey, identifying key pain points, and developing a methodical plan that supports all major BI reporting platforms. The proposed methodology covers requirement gathering, analysis, solution design, implementation, unit testing, code review, evaluation, obtaining sign-offs, and deployment planning. By integrating Artificial Intelligence (AI) throughout the process, automation, data-driven insights, and enhanced performance are achieved. This comprehensive checklist-driven approach ensures successful project delivery and optimal business outcomes.

Scholars Journal of Engineering and TechnologyVol. 13(04)
Openalex Percentile: Top 88%
Big Data and Business Intelligence
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