Overview

Data quality refers to the accuracy, completeness, consistency, and reliability of data. It ensures that data is fit for its intended purpose and can be trusted for decision-making. In Cloud Data Governance and Catalog (CDGC), data quality involves validating and maintaining high-quality data across various sources, adhering to governance standards, and ensuring reliable information for effective management and analysis.

Data Quality Score is a Metric that reflects the condition of data based on various quality dimensions such as accuracy, completeness, consistency, and reliability. It serves as an indicator of how well the data meets the standards required for its intended purpose and helps organizations assess the overall quality of their data assets.

Learn how to implement DQ Rule Automation in CDGC.

Pre-Requisites
Self-Service Resources
Goals
  • Understand what Data Quality is and how to achieve it in CDGC (Cloud Data Governance and Catalog) 
  • Understand the Data Quality Automation options in CDGC and the exact difference between those options. 
  • Learn how to create Data Quality Rule Templates and Rule Occurrences in CDGC. 
Outcome
  • Gain a Comprehensive understanding of Data Quality implementation in CDGC. 
  • Various Data Quality methods to achieve the business use case. 
  • Creation of Data Quality Rule Template and Rule Occurrence 
Required Roles/Personas
Actions
Add to Favorites
Engagement Details
Catalog Type

Ask An Expert

Engagement Category

Feature Clarity

Products

Cloud Data Governance and Catalog

Engagement Type

Ask An Expert

Adoption Stage

Configure

Implement

Optimize

Focus Area

Adoption - Technical

Functional

Engagement ID

AAE-CDGC-011

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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