Summary
The early part of this chapter outlined how to properly understand the business strategy of a business. If this element goes well and has the right support, an organization will feel that the data quality initiative truly understands the priorities of the business. This breeds confidence that the work done on data quality will be focused on the right aspects.
The chapter also outlined how to use the information from this discovery phase to properly research the root cause of challenges that impact the strategy. It also outlined how to link these challenges to processes, analytics, and data.
All of this has informed which data to profile. The chapter covered the main outputs that profiling provides and the potential data quality rules it can generate. This is likely to have revealed some surprises about data, even to those who use it every day. The maturity of the data conversation has now reached the point where data quality rules can be fully developed.
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