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  4. Looping back to the Data Quality Check (DQA)

Looping back to the Data Quality Check (DQA)

Sometimes, after having reshaped the data (Data preparation) and when the amount of Data transformation is too big or just too structural it is necessary to come back to previous stages like the DQA. That can happen when for example the change that has been made on the data is too important (change on the Process Flow Identifier or the Process Step Name) and so, it may be necessary to come back at the first activity of this stage and redo a Data Quality Check to ensure the transformed data still fit with the Process Mining Solution.

Of course revalidating the result of the DQA with the Business or Process Analyst is also necessary.

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