Dataedo Videos

Who to Include in a Data Governance Council

3 Ways to Overcome Data Quality Challenges

My Advice to Data Governance Practitioners

THE BENEFITS OF THE BUSINESS GLOSSARY: IMPROVING COMMUNICATION

What is a Data Governance Maturity Model?

Data Quality Myth #6: Fixing data is easy

Dataedo 7 Product Demo Webinar (Dec 10, 2019)

Data Quality Myth #5: Our Data is Good

How to create a data governance scorecard

How a Business Glossary Increases Trust in Data

5 Data Quality Metrics for Big Data

Webinar: Business glossaries - The What, the Why, and the How

3 Things a Data Governance Sponsor Needs to Do

6 Benefits of Data Classification

Why is Data Veracity Important?

5 Main Steps to Implement a Business Glossary

7 key questions for data veracity assessment

The most overlooked step in starting a business glossary

Data quality myth #4: A good tool is all you need

Data quality myth #3: It's IT's responsibility

3 best practices for managing reference data

Data quality myth #2: It's a one-time project

Data quality myth #1: It's all about cleansing the data

What is reference data?

Using ISO for Country Reference Data

Data Governance compared to HR & Finance

5 topics to cover in data governance council meetings

3 data integration processes prone to bad data quality

5 reference data characteristics

Sensitive Data Discovery and Classification - Dataedo 7.5

Introduction to Dataedo 7.4

What's new in Dataedo 7.4

What's new in Dataedo 7.3

What's new in Dataedo 7.2