Practical Data Quality

Part 1 – Getting Started

Data quality initiatives can be difficult to get off the ground. It is not easy to identify clear quantitative benefits up front, and not all stakeholders inherently have an understanding of how damaging poor data quality can be.

In the first four chapters of this book, you will gain an insight into the key concepts that are fundamental to a data quality initiative, such as the roles involved, how the activities fit into a broader data management program, and the end-to-end data quality improvement cycle. You will learn how to create a compelling business case for a data quality initiative, which should lead to the required funding to make meaningful progress. The book will guide you on how to make an impactful start ...