69% of organizations don't fully trust their customer data, despite decades of investment in data management technologies.
Most enterprises still struggle with the same issue: Teams don’t trust the customer data they rely on. In this on-demand webinar, Stibo Systems, Forrester Research and Microsoft reveal why trust remains elusive — and what organizations can do about it.
What’s driving the trust gap?
Recent research shows persistent barriers: manual data cleanup, shadow databases, limited visibility into the customer, and data quality issues blocking AI initiatives. The problem isn’t technology. It's the lack of policies, processes and governance needed to make data trustworthy.
What you’ll learn:
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The difference between data integration and true unification
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Why AI initiatives require accurate, decision-ready data
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How leading organizations shift quality upstream with real-time validation and entity resolution
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Practical, high-impact steps to improve data trust quickly
Organizations succeeding with AI aren’t waiting for perfect data. They’re building unified, governed foundations that reduce manual cleanup and enable smarter customer experiences. This webinar shows you how to close the trust gap and build an AI-ready customer data foundation.
