We know data quality is important, ignoring it can be expensive and time consuming. However, we often find ourselves in the reverse scenario, especially without a clearly determined goal. Too many initiatives are planned and run as one-off exercises. Many run aground by targeting the most difficult problems, rather than considering where the return will be largest. We find that successful projects are run in accordance with six data excellence principles.
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