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Data Quality:

Data is of quality when it is fit for use in the given context. When we enrich the data that can be used to fuel actionable insights, then in a true sense, we have achieved data quality.

 

However, to produce quality data, many factors must be considered, such as uniqueness, precision, completeness, consistency, and, most importantly, data relevance.

 

We always start with a data framework by analyzing your current business and data processes. Based on our analysis and your goal, we provide a proposed framework. A well-crafted framework will ultimately help us achieve

  • Data Governance

  • Data Profiling

  • Data Matching

  • Data Quality Reporting

  • Master Data Management (MDM)

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