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.

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

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.

In this interview Jill Wanless shares some of her experiences and tips for getting a data quality program off the ground and moving in the right direction.

In this guest post, regular expert panelist and featured contributor Arkady Maydanchik provides yet another detailed extract from his excellent book: "Data Quality Assessment". The 6th in a series, this post defines the various attribute dependency data quality rules and provides a strategy for discovering them.

John Schmidt came to our attention as he has considerable experience in launching competency centres - resources which are extremely useful for increasing data quality awareness and improvement across the organisation.

In this interview we talk with Ismael Caballero, one of the leading contributors to the Information Quality Management Framework (IQMF).

We find out more about the reasons for creating the framework, who was involved and how our readers and members can benefit from using it.

In this guest post by Peter Benson, ISO 8000 Project Leader, we learn about the international data quality standard and how it benefits data consumers

This tutorial by Arkady Maydanchik focuses on how to create a state dependent data quality rules process for your data quality management programme. This is an essential and often overlooked aspect of data quality improvement initiatives.

Learn how KFR Services went beyond Six Sigma levels of Data Quality to create an unbeatable competitive advantage in the telecoms sector.