The Ultimate Guide to Evaluating a Data Catalog for the AI Era
5 steps to finding the right modern data catalog for your organization.
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Inside the guide
Discover the five steps to finding the right data catalog for your organization – and then some.
Enterprise AI has a problem
Why 95% of AI pilots fail in production, and how context can help.
No context = no AI
The context mandate for AI – from quality signals to governance guardrails.
All about context infrastructure
How a context layer goes beyond the capabilities of traditional catalogs.
Keys to catalog evaluation
What to prioritize when choosing the right catalog solution.
The evaluation framework
Five steps to assessing data catalogs and setting yourself up for success.
Choosing a partner
Going beyond a vendor relationship, and establishing a true partnership.
5 steps to choosing the right data catalog.
How to run a seamless evaluation, demo, and POC process.
Why Traditional Data Catalogs Are Falling Short
Our Approach
Define organizational needs
Identify the top 3 challenges
Customize evaluation criteria
Map capabilities to organizational needs
Read the market
Understand vendors and their offerings
Take demos
Dive deep into a small vendor set
Run a hands-on POC
Understand which platform is best for you with a real use case
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