As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance—not just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps.

1. Locating and understanding it
2. Ensuring its quality
3. Establishing appropriate usage
4. Providing user access

Step 1: Harvest Technical Metadata

Learn technical tips for understanding what and where your data is:

• Prioritize systems to scan for technical metadata
• Create classifications and catalog sources
• Assign stakeholders and configure a scan
• Auto-tag metadata and review/curate results

Step 2: Establish Analytics Governance Framework

Set up and populate your cloud data governance tool to ensure data quality:

• Define key terms and metrics within a hierarchical glossary
• Define policies and related terms of use
• Define processes and AI models
• Track progress

Step 3: Connect & Enrich Business & Technical Metadata

Understand how data is being used and establish how it should be used:

• Link glossary concepts to policies and processes
• Build datasets from technical content
• Create and implement DQ checks
• Review enriched assets for business and technical value

Step 4: Democratize Data

See how to make data easy for all users to source and access, whatever their data literacy and access rights:

• Enable the Data Marketplace
• Set up categories and delivery methods
• Publish and enrich data collections
• Respond to data access requests

Speakers

Thomas Brence
Sr. Director of Product Marketing
Informatica

Kate Amory
Technical Marketing Manager
Informatica