Data Quality Assessment and Transformation Strategy 8th February 2022 – Posted in: Digital Transformation

Philip Lesslar 

We have seen many a data quality project take off with much energy and enthusiasm and complete successfully to the satisfaction of users and management alike. But time and again, once those quality-checked projects are handed over to the business, lack of basic housekeeping discipline combined with a general absence of process result in data degradation of the project. Our four-part DQAT approach helps you to avoid this situation by including the adoption of an automated tool within the workflow that does basic checks to maintain the quality of your data.

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