Most organisations face data quality problems, a legacy of many years of poor information management. With increasing regulation and increasing competition it is no longer an option to simply ignore these problems. With the cost of poor data quality often approaching 30% of turnover, it is a problem worth solving. Few organisations have succeeded. A common scenario is to spend vast effort remediating data only to see it degrade again in a short period of time. John Parkinson has worked for 20 years in the information management industry and on many large data quality remediation projects. His experience has shown that organisations fail to consider the organisation as a holistic unit, and miss out key elements of the solution by focusing only on the data itself. The conclusion is they also need to focus on the processes and architecture that create and maintain it. However knowing this does not make it happen in reality. Drawing on both his project management experience and also his data quality, data strategy, data governance and data management experience, John has developed a clear practical blueprint