Four Pillars of Data Quality Improvement
Blog Administrator | Analyzing Data Quality, Data Integration, Data Management, Data Profiling, Data Quality |
By Elliot King
Almost all data quality management programs have four key elements that serve as the foundations for success–data profiling, data improvement, integration and data augmentation. Put in other words, data quality programs must determine what is broken; fix what can be fixed; consolidate what can be consolidated and enhance what needs to be enhanced. Sounds easy, right? If only.
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