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Data Catalogs


Course Contents




Lineage & Models


Term & Metric Glossaries

Analytic Style Guides


Policies & Procedures



Leverage Existing Assets & Best Practices

Welcome visitors to your site with a short, engaging introduction. 

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Do you have any of these issues?

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Low Usage Rates

You've worked hard to populate and curate catalog content that users care about but after their initial interest during onboarding, usage plummets and they rarely return.

Recognition is Not Working

To motivate people to participate, you've tried recognition and reward strategies, but you are still not seeing a significant increase in engagement. 

Frustrated Users

Even with search capabilities, users struggle and are frustrated with the effort required to find data assets and understand their quality and relationships.

How does an AI Data Assistant help?


Low barrier to adoption using a chatbot interface with no learning curve


Full access and knowledge of all the Alation catalog's enterprise specific data content


Viral capabilities that are safe and secure with no public sharing of enterprise IP


Easily extensible with enterprise specific data literacy, access, business specific content

What is an Alation AI Data Assistant?

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Alation RAG Pack

A pre-built Alation API-based retrieval-augmented generation (RAG) extraction capability is deployed in Azure.  It continuously extracts, composes, and supplies catalog content as narrative language that can be used by the AI Data Assistant.

Microsoft AI Studio & Azure Services

The heart of the AI Data Assistant is created using Microsoft's AI Studio tooling and its associated Azure storage and search capabilities.

Chatbot created as a Microsoft Power App

The AI Data Assistant is created using Microsoft's Power App low-code tools and deployed into a customer's existing Microsoft Office365 environment.

Stress-free, easy implementation process

From start to finish, we provide our customers with a quick and easy deployment experience. Simply meet with one of our expert consultants, review our implementation packages, and receive an exact quote.  Afterward, our experts will lead the deployment and complete work in as little as one week.   

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