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These include, but are not limited to, database management systems, datamining software, decision support systems, knowledge management systems, data warehousing, and enterprise datawarehouses. Some data management strategies are in-house and others are outsourced.
This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional datawarehouse to a data cloud, which can host a cloud computing environment. Complex data management is on the rise.
So how does data intelligence support governance? Examples of governance features that leverage data intelligence include: A business glossary, with automated dataclassification, to align teams on key terms. Data lineage tracking and impact analysis reports to show transformation over time. Again, metadata is key.
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