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The Power of Suggestion: How a Data Catalog Empowers Analysts

Analysts can do amazing things when they have the right data. Add to the mix some machine learning and artificial intelligence, and something remarkable happens: power analysts get even more productive. The key to this equation is a meaningful data catalog that captures much more than metadata, including the history of human interactions with the data, business definitions, and even tribal knowledge about data experts. Register for this episode of Hot Technologies to hear veteran Analysts Dr. Robin Bloor and Dez Blanchfield explain why machine learning and artificial intelligence can help analysts expedite time to insight. They’ll be briefed by David Crawford of Alation, who will demonstrate his company’s smart query engine, Compose, which leverages a deep data catalog to help analysts find answers more quickly and efficiently. He’ll show how a critical mass of data and attributes can train algorithms that fine-tune the analytical process with relevant suggestions of joins, filters and relationships.

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