How to Establish a Data Quality Management Framework

Accurity

May 2022 · Simplity s.r.o.

About this ebook

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, you will:

• 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

About the author

Accurity is the data intelligence software platform of Simplity s.r.o. Simplity is an international consultancy company established in 2010, we make data intelligence simpler for companies of all sizes and enable them to meet their business objectives. We help our customers and clients understand their data and empower them to act on it.

Our experience and knowledge come from very complex data projects for large financial institutions. In the era of e-commerce, with customer data playing a pivotal role, we are combining this experience with advanced analytics and data science to provide customer analytics. With this expertise, we can help you solve your complex business challenges.