Data Quality is often overlooked by organisations as tomorrow’s problems.
The course, illustrated with real case studies covers:
What is Data Quality vs Data Quality Management and why does it matter?
The Data Quality Reference Model, including architecture and processes
Diagnosing Quality problems
Writing business case studies and exercises
Getting started and sustaining initiative
The DAMA dimensions of Data Quality, plus alternative views on Data Quality dimensions
The relationship between Data Quality, Data Governance and the other Information Disciples
Starting and sustaining a Data Quality initiative: steps for achieving Data Quality
The roles, responsibilities and activities involved in establishing successful Data Quality.