Best Practices for BI Report Lifecycle Management: From QA to Production in Agile Environments

17 Jul
Posted on Author

Authors: Ajay Kumar Kota

Abstract: This article explores the essential best practices for managing the lifecycle of Business Intelligence (BI) reports in agile environments, with a focus on Power BI. As enterprises increasingly depend on data for timely decisions, managing report development, deployment, and governance becomes critical. The article provides a detailed examination of environment segmentation (Dev, QA, UAT, Prod), version control using Git and ALM tools, CI/CD automation, testing and validation strategies, and compliance frameworks. Through a practical case study in the pharmaceutical industry, it demonstrates how agile report lifecycle management enhances speed, reliability, and governance in BI ecosystems. The article concludes with a forward-looking perspective on automation, metadata governance, and the evolving role of analytics in modern enterprises.

DOI: https://doi.org/10.5281/zenodo.16018474