Category Archives: Data Quality

how to identify reduce DW BI data quality risks

How to identify and reduce DW/ BI data quality risks

An introduction to DW/ BI data quality risk assessmentsData warehouse and business intelligence (DW/ BI) projects are showered with risks – from data quality in the warehouse to analytic values in BI reports. If not addressed properly, data quality risks can bring entire projects to

7 data quality management principles

7 principles of data quality management

The principles of data quality management are a set of fundamental beliefs, standards, rules and values that are accepted as true and can be used as a foundation for guiding an organization’s data quality management. They have been adapted from ISO 9000 principles of 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