How to build Power BI self-service analytics effectively
- Aug 13, 2026
- Isha Taneja
Paulina Jędrzejewska shares how semantic models, Power BI governance and user training build trusted BI analytics, stronger adoption and clearer decisions.
Paulina Jędrzejewska shares how semantic models, Power BI governance and user training build trusted BI analytics, stronger adoption and clearer decisions.
Paulina Jędrzejewska, Director of Business Intelligence at JSP Cloud, specializes in Power BI, semantic models, and self-service analytics. Her work focuses on helping organizations build trusted data foundations that support faster and more confident decisions.
On The Executive Outlook, Paulina explains that effective self-service analytics requires the right balance between user freedom and governance. BI teams should manage trusted models, definitions, quality, and performance, while business users should have the flexibility to explore data and create reports.
For Paulina, strong analytics also depends on training and support. Giving users access to data is not enough, they need the knowledge and confidence to use it responsibly and make reliable decisions.
CEO, Complere Infosystem | Editor-in-Chief of The Executive Outlook | Data Storyteller | Business Strategist
“Decisions that win are built on accurate and timely insight, not on data overload.”
Isha Taneja is the CEO of Complere Infosystem, a leading data engineering and analytics company that helps organizations turn messy data into business-ready insights. As Editor-in-Chief of The Executive Outlook, she curates bold stories and sharp perspectives from leaders shaping the future.
Whether she’s working with clients on digital transformation or sharing authentic leadership stories, Isha’s mission is simple:
Make data-driven decisions easier, faster, and more impactful.
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