Data product reusability: Cut costs & scale AI with 3 key changes
Learn how to increase data product reusability to drive faster decisions, stronger AI outcomes, and measurable business growth.
The cost of standing still: what data inaction really risks in an AI-driven market
Data inaction compounds competitive risk. Learn what delaying governed data products costs your organization and how reusable data assets close the gap.
Reuse over rebuild: How trust can unlock the real value in your existing data
New APAC research reveals that even mature data programs struggle with reuse. Learn why visible trust signals are the key to closing the data trust gap.
erwin Data Intelligence 15.1
AI doesn’t have a data problem. It has a navigation problem.
AI data governance is the missing navigation layer for enterprise AI, providing the context, meaning, and direction required to drive AI success.
From data access to data empowerment: why AI changes the data product equation
From data access to data empowerment: learn how governed data products help organizations unlock AI-ready insight at scale.
Snowflake heist: How to crack the code on Snowflake ROI
Learn how to unlock Snowflake ROI with a carefully planned seven-step heist.
The data modeling generation gap: Why teams are rethinking their tooling strategy
Enterprise precision or cloud-native collaboration? Learn which data modeling approach fits your team, or whether you need both.
AI ambition is outpacing data reality and the gap is getting expensive
New 2026 Omdia research reveals how mature, automated data products drive 20%-plus KPI gains. See the benchmarks shaping AI-ready data delivery strategies.
erwin Data Intelligence 15.1
AI in manufacturing isn’t failing. Your data is.
AI in manufacturing is failing, and data is why. Learn how a governed data foundation is the real path to AI ROI for manufacturers.
How a data marketplace unlocks the value of trusted data products
Learn how a data marketplace activates trusted data products, increasing their reuse and value.
Your data platform isn’t your data strategy: Why “manage it later” is the lie that breaks AI
The data management platform vs. data platform debate matters for AI. Learn why governance and trust are critical and how managing them later breaks AI.
Why data products belong on the P&L — and how to make them pay
Data products governed like P&L assets shorten forecasting cycles, lower cost-per-insight, and give AI a trusted foundation. A guide for CFOs and CDOs.