Perhaps the most critical aspect of any data quality initiative is the ability to perform effective data quality measurements so that an accurate assessment and roadmap for improvement can be sought.

To help readers gain practical insight into the methods and pitfalls of data quality assessment and measurement I asked data quality expert Laura Sebastian-Coleman to provide some insights.

In this guest post from data governance expert Patrick Dewald, we get an insiders view on some of the myths and paradoxes of data strategy. Patrick also shares insights on where organisations possibly need to refocus their efforts.

In this article by Mike Ferguson of Intelligent Business Strategies we learn one of the most overlooked disciplines that is pivotal to MDM success - effective change management.

When tackling Data Quality you need to understand and manage the thousands of business rules that can exist across your organisation. In this article, expert author

To help our readers understand how to get started Peter Benson of ECCMA was recently interviewed discussing a range of topics relating to the ISO 8000 data quality certification standard of which he is the project leader.

How can you leverage a metadata strategy to advance your data quality management initiative?

Anne Marie is an accomplished data management strategist, published author, speaker, facilitator and instructor. In this interview she shares some practical insights on how to incorporate metadata into your data quality journey.

What does it take to deliver an holistic enterprise data quality solution across one of the world's largest and most data intensive organisations?

In this detailed interview, Jay Zaidi provides a huge amount of practical, actionable advice for anyone looking to take their data quality initiative to the wider organisation.

To help you reverse the trend of data migration project failure, Dylan Jones (editor of Data Quality Pro) and John Morris, (author of Practical Data Migration) got together to help share industry best practices around data quality within a data migration project.

In this article, Arkady Maydanchik of eLearningCurve provides an explanation of what it takes to create an effective data quality scorecard and the significant importance it should play in your data quality assessment and improvement programs.

Download Talend Data Quality Studio (Talend Open Profiler), a sample dataset, plus 21-page tutorial that takes you through practical examples of how to use the key Talend Data Quaity functionality.

Underpinning MDM is the need for an effective data quality management strategy and appropriate toolset. With so many organisations dipping their toes into the choppy waters of MDM we thought it high time to provide an overview for those getting started or wanting to learn more.

In this article, Ed Wrazen shares a practical approach to understanding the what, where, and how of measuring data quality metrics.

In this interview, Ellie Fitzpatrick, Senior Data Governance Officer for Leeds City Council explains how their data governance initiatives are moving forward and delivering real value.

Data Migration Projects require a comprehensive data quality rules approach – John Morris (author of Practical Data Migration) shares insights on how to get it right.

In this feature, the New Zealand Ministry of Justice kindly provide a document of their data quality framework for the benefit of members of Data Quality Pro.

In this final tutorial in a series of 4, Arkady Maydanchik provides an explanation of Data Quality Rules for Event Histories, this is tutorial 4 in a 4 part series exploring the different categories of data quality rules as covered in his Data Quality Assessment book.

In this tutorial, Arkady Maydanchik provides an introduction to Data Quality Rules for Historical Data, this is part 3 in a series exploring the different categories of data quality rules as covered in the "Data Quality Assessment" book.

In this tutorial, Arkady Maydanchik provides an introduction to Relational Integrity Constraints, this is part 2 in a series exploring the different categories of data quality rules as covered in his Data Quality Assessment book.

In this tutorial, Arkady Maydanchik provides an overview of the 5 categories of data quality rules as covered in his Data Quality Assessment book. He discusses in greater detail the role of Attribute Domain constraints.