Overview

Data asset analytics is an industry first metadata analytics solution which helps you to optimize data asset value with analytics on data asset inventory, usage, enrichment and user collaboration of your data catalog. Data asset analytics provides you extensive reporting and analytics dashboard capabilities, which helps you in real time storytelling for empowering custom insights on the catalog data.

Data asset analytics helps users to understand the visibility of the data asset usage, inventory, enrichment, collaboration and data value. It helps you to track the key metrics on your catalog.

Pre-Requisites
Self-Service Resources
Goals
  • Understand the importance of Data Asset Analytics (DAA). 
  • Understand the Features of DAA 
  • Understand how to configure DAA and its reports with the demo. 
  • Understand more about DAA features and its functionalities.  
Outcome
  • Understand overall process involved in implementing Data Asset Analytics to improve data accuracy and reliability. 
Required Roles/Personas
Required Roles/Personas
  • Architect/Administrator 
Actions
Add to Favorites
Engagement Details
Catalog Type

Ask An Expert

Engagement Category

Feature Clarity

Products

Enterprise Data Catalog

Engagement Type

Ask An Expert

Adoption Stage

Configure

Implement

Optimize

Focus Area

Adoption - Technical

Functional

Engagement ID

AAE-EDC-009

Disclaimer

  • All the topics covered in the Success Accelerators/Ask An Expert sessions are intended for guidance and advisory only. This is implicit and it will not be called out under the scope of each engagement.
  • Customers need to include their relevant technical/business team members highlighted in each engagement topic to derive the best out of each engagement.
  • Customers need to perform any hands-on work by themselves leveraging the guidance from these engagements.
  • Customers need to work with Informatica Global Customer Support for any product bugs/issues and troubleshooting.

Success

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