The benefits and risks of standard data models

Templates for data models can be found for different industries, such as education and learning, healthcare, energy and utilities, banking and financial markets, insurance, telecommunications, retail, aviation, and more others. As a quick FYI, these are often put together by standards bodies or vendors of

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

Data Quality Management trifecta

The trifecta of the best data quality management

Data is an enterprise asset, enabling the organization to make informed decisions. In order to secure data’s position as a highly valuable asset, the organization needs to implement a data quality management program. This will achieve and sustain a high level of quality for the