This month we continue where we left off with source system assessment to delve into a parallel or companion activity – data quality assessment. When undertaking data quality assessment, we must define what it is we hope to accomplish. A crucial first step is laying out a set of ground rules to follow in establishing our framework to deliver value (in this case timely, accurate and consistent data) to our family of business users. Our assessment process must, therefore, focus on these key principles and set quality thresholds to gauge how close our source systems are to providing acceptable data – both in content and timeliness – to the warehouse.

When undertaking a data quality assessment, the end result we need to achieve is to establish an ongoing data quality management process. Therefore, not only do we need an assessment of our data sources, but we also need to establish what will be required to translate this activity into an ongoing business process. Some representative activities include establishing:

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