Whitepaper
How to Establish a Data Quality Management Framework
A significant amount of money is lost every year to bad data. This includes time spent on correcting bad data, evaluating data sources that are not trusted, or simply the costs of mistakes due to incorrect customer identification. Why not improve your business in an area that you can directly influence?
Our whitepaper helps you understand the purpose and added value of Data Quality Management, what types of common data quality issues exist, and guides you through the steps needed to establish a good Data Quality Management framework as a part of your overall data governance.
In this whitepaper
Learn what data quality management is and how it helps your business
Understand what data quality is and how you can categorize data issues as data quality dimensions
Discover how bad data is produced in the first place and how to improve data quality
See what position data quality management takes in data governance
Get a step-by-step guide to the data quality management process
What our clients say
“
We’ve done a lot of research finding a product that is able to solve one of our media industries’ biggest pain points: Efficient metadata handling across various systems and databases. These folks from Simplity have just nailed it with Accurity. Happy working with their experienced staff to ramp up the foundation of our digital supply chain."
Simon Zsebök
VP Digital Innovation
