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Data Asset Analytics (DAA) – Overview, installation and configuration
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.
- Knowledge of the Enterprise Data Catalog (EDC) and extracted metadata from the source systems using EDC scanners.
- Make sure that the Informatica administrator has enabled Data Asset Analytics for Enterprise Data Catalog.
- 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.
- Understand overall process involved in implementing Data Asset Analytics to improve data accuracy and reliability.
- Architect/Administrator
Ask An Expert
Feature Clarity
Enterprise Data Catalog
Ask An Expert
Configure
Implement
Optimize
Adoption - Technical
Functional
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.