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Data Quality in Process Mining: A Rulebased Approach R.M.E. van Cruchten[1] 1Tilburg University, Warandelaan 2 5037 AB Tilburg, The NetherlandsAbstract. Garbage in garbage out, a truism in any data
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How to fill out data quality in process
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Identify the key data elements that need to be captured in the process
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Businesses that rely on accurate data for decision making
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What is data quality in process?
Data quality in process refers to the accuracy, completeness, reliability, and timeliness of data during its processing stages.
Who is required to file data quality in process?
Organizations and individuals who handle data within a regulatory framework or industry standards are typically required to file data quality in process.
How to fill out data quality in process?
To fill out data quality in process, gather relevant data, follow the specific guidelines provided for reporting, and ensure that all required fields are completed accurately.
What is the purpose of data quality in process?
The purpose of data quality in process is to ensure that data is reliable and valid, which ultimately supports decision-making, compliance, and operational efficiency.
What information must be reported on data quality in process?
Information that must be reported may include data source, data validation methods, any discrepancies found, and corrective actions taken.
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