Council Post: The Future of Self-Service BI with AI Enhancements

Today, modern self-service BI platforms have evolved to be more user-friendly and interactive, empowering users to explore data, create dynamic dashboards, and generate real-time insights independently.
In today's fast-paced business environment, the ability to make data-driven decisions is critical for achieving and maintaining a competitive edge. Despite significant advancements in technology, many organizations still face challenges with traditional business intelligence (BI) tools. These tools often require substantial technical expertise and IT support, creating bottlenecks and limiting accessibility for non-technical users. As a result, vast amounts of data remain underutilized, preventing organizations from fully capitalizing on their data assets. This article explores how AI-enhanced self-service BI tools are transforming the landscape by making data analysis more intuitive, accessible, and efficient for all users. The Evolution of Self-Service BI: From Static Reports to Dynami
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Anurag Minocha
Anurag Minocha is the Sr. Managing Director and Head of Data Products and Reg Data Strategy at Webster Bank. With a strong technical and data background in financial services, Anurag is a transformational data executive who has implemented robust data governance, controls, and policies across Fortune 500 corporations, including JPMorgan Chase and GE Corporation. At JPMorgan Chase, he served as a trusted advisor and strategic business partner, driving the vision and strategy for enterprise data management and governance. His expertise includes Data Strategy & Governance, Data Analytics & Stewardship, Master Data Management (MDM), M&A Integration, and Project Management & Team Leadership.
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