Category Archives: Data Quality

Data quality root cause analysis – 5 whys

Data quality root cause analysis – 5 whys

The importance of identifying and addressing the root cause of a data quality issue should never be overlooked. In this series of articles I will cover the most important techniques which help you uncover the root cause. This week will focus on the 5 whys, root

mistakes to avoid when building data quality program

7 mistakes to avoid when building a data quality program

Similarly to how an organization’s human resources, equipment, and intellectual property are assets, so is data. Managing its quality is essential in order for the organization to be able to rely on it and benefit from it, yet many data quality initiatives tend to fail

3 types of data quality projects a data steward should work on

In  “The trifecta of the best data quality management” article, I’ve addressed why a data quality program is needed and what the recurring steps you should always go through are in order to carry on continuous and sustainable efforts to improve and/ or maintain the quality of your

estimating the cost of poor data quality

Estimating the cost of poor data quality in 5 steps

According to the IBM Big Data & Analytics Hub, poor data costs the US economy $3.1 trillion every year. Ovum Research reported that poor data can cost businesses at least 30% of revenues. These numbers are staggering and in my opinion, they should be enough

Data Quality Issue Log

The ultimate guide to a Data Quality issues log

If you’ve already started or planning to start a data governance program to support your data quality improvement goals, you need a structured way of tracking your data quality issues and their status. There are different ways of doing this, of course, with either the