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- January 22, 2019 Create Date
- January 30, 2019 Last Updated
With information streaming in from more varied sources and at a faster pace than ever before, organizations are having an increasingly difficult time deriving accurate meaning from their data. Data governance systems that were once able to organize and process enterprise information are now too slow and siloed to handle what has become a rapidly-evolving and heterogeneous data landscape. As a result, companies may mischaracterize otherwise accurate data, putting their reliability and competitiveness at stake. By connecting all kinds of data and its metadata in a more accessible way than ever, semantic data management systems empower users, data stewards and analysts to make more accurate use of, gain precise and timely insights from, and unlock the true meaning behind their business’s data.