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Automated Data Quality Control Assignment Across the DQ DimensionsThe data quality function of a data governance practice focuses on data quality’s dimensions of completeness, validity, uniqueness, consistency, integrity, and timeliness. It represents these to the Data Governance Office in a way that allows for the data to be evaluated for exposure to data quality issues, from both the technical and business perspectives.
Top 10 Takeaways from WSJ Guide to Information Graphics
A summary of the best advice in the Wall Street Journal Guide to Information…Read more
Data Governance vs. Business Agility: How to Achieve Harmony and Accelerate Innovation
Business agility requirements are often at odds with the governance needs of…Read more
5 Common Problems with Enterprise Reporting
Learn about common problems in Enterprise reporting so your company can build…Read more
Data for Good: Enabling Data-Driven Altruism with Data Governance
Using data for helping solve social causes comes with many challenges. How can…Read more
What is a Data Mesh?
Learn about the new decentralized architecture and governance concept: the data…Read more
The Cost of Poor Data Quality
Using poor data quality in your business operations has a negative tangible…Read more
Data Quality Storytelling: A Better Way to Do DQ Reporting
Liven up your DQ reports with the latest data visualization technology.Read more
Why Pie Charts are Evil
Pie charts get a lot of criticism from the data visualization community. Find…Read more
How to Tell Stories with Data: 5 Steps to Make it Work
Why settle for simple data visualization when you can learn how to tell stories…Read more
5 Reasons Why the Data Catalog and Data Quality Work Better Together
Data catalog is an essential tool for data and analytics leaders. Learn how…Read more
Census Data Quality Is Essential: Here’s Why
High quality census data is essential for producing accurate population…Read more
7 Essential Data Quality Management Capabilities
Learn which capabilities are a must-have in your data quality solution.Read more
How to Get Started with Data Quality: The 3 Steps You Should Take First
Starting out with data quality can be hard. We're breaking it down for you in…Read more
What is a Data Fabric and Why You Should Care
Understand data fabric through our straightforward definition. Then discover…Read more
Why Data Quality is Crucial for Successful AI Implementations
Learn why data quality is key to successful AI.Read more
The Evolution and Future of Data Quality
Learn about the evolution of data quality from SQL to the Data Quality Fabric…Read more
What is a Data Steward?
Learn about data stewards, their responsibilities, and the 5 different types of…Read more
What is Data Governance and Why is it Important?
What is data governance? Data governance is a set of processes and rules that…Read more
What is Data Profiling?
Data profiling is the first step to any data initiative. It’s a series of…Read more
Enterprise Data Quality Fabric: A Primer
Enterprise Data Quality Fabric is the new way to manage data and deliver it to…Read more
Embracing the Future of Data Governance with our Clients, Part 2
We asked our clients in the Asia Pacific region about their challenges to…Read more
Embracing the Future of Data Governance with our Clients, Part 1
Learn how our customers manage data in the cloud, use AI, and make data…Read more
What Is Data Quality and Why Is It Important?
Learn what data quality is, why it is important, what costs and risks bad data…Read more
5 Proven Techniques For Successful Data Governance
Learn 5 useful techniques from our experts in Data Governance.Read more
Reference Data Management Fundamentals: What It Is and Why It Matters
Reference data is data that defines the values that are used to classify and…Read more