About

When a CDO inherited a fragmented analytics environment – poor data quality, untrustworthy reporting, and zero visibility into how insights were being used — the first instinct was to fix the data. A new data warehouse, governance committee, and data catalogue followed. But a critical question emerged: what is data governance actually for? The answer changed everything. Data quality only materialises through analytics – meaning governance had to extend beyond the data layer to deliver real business value. This session traces that journey: from data chaos to a four-pillar analytics governance framework, and ultimately to an analytics environment that business users can access easily and trust fully.

Takeaways

• Why data governance alone is insufficient — and what analytics governance adds to close the gap
• The four components of a practical analytics governance framework you can apply in your organisation
• How to connect data quality initiatives to measurable business impact
• What it takes to build an analytics environment that business users actually trust and adopt