Salesforce is integrating Einstein Analytics and the Alation Data Catalog to create seamless collaboration and automation.
With this integration, Alation’s AI-powered data catalog automatically inventories how hundreds to thousands of users in an organization are using analytics today.
Alation automatically generates a social catalog page for every asset in Einstein Analytics, increasing the transparency of analytic usage in the organization. It automates the capture of detailed business semantics and uses built-in collaboration features to lower the barrier to knowledge sharing. Alation’s Data Catalog makes finding, understanding and verifying data to ultimately uncover true business insights easy.
Catalog pages not only include a description of the data origins of the report, dashboard or data set, but also the top users, popularity and social upvotes or downvotes provided by colleagues.
To build a dashboard for a specific business request, the analyst can now search and find contextually relevant data assets used in other trusted insights and use that knowledge to deliver better quality analytics more quickly.
The Alation Data Catalog uses Behavior I/O, an AI engine that finds the truth within the organizational usage patterns of data. Based on those patterns, Behavior I/O makes recommendations, like which data set is best suited to the analytic question at hand, who the best experts are to reach out to for particular insights, and how data should be labeled for standardization of your business terms.
“We’ve been using Alation internally for more than 2 years as our solution for data cataloging,” said Hernan Asorey, SVP Product Data Science at Salesforce. “The Alation Data Catalog has significantly increased the productivity of my team of analysts and data scientists, enabling them to quickly find, understand and trust the data they need and increasing time to real business insights.”
For more information about this partnership, visit alation.com.