Combining Data Profiling and Data Modeling for Better Data Quality
White Papers and Research
For most organizations, data-source discovery, analysis and comparison are major resource drains during data-intensive projects. Data profiling integrated with data modeling can help you overcome traditional data discovery challenges by: finding hidden inconsistencies in data, providing metrics to correct errors in your database environment, inferring key structures for undocumented legacy systems, cross-system analysis to identify a "single source of record," and comparing live instance data with model design to ensure that design matches reality.
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