Begin at the end … ensuring data quality success!

Due to the fact that data is there before a data quality project, and it is there after a data quality project, data quality is not as clear an impact on the business as a traditional application development project. This is particularly true of customer data management oriented data quality projects where the primary objective is to “de-dup” or consolidate the data. Afterall, in the end there is just less data.
If you define a list, with business stakeholders driving the process, of business processes and a measurable way to define the impact on that business process before the data quality project is implemented, there will be a clear path to success as well as an easy way to quantify it once the solution is deployed!