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erwin Expert Blog


The Data Governance (R)Evolution

by Mariann McDonagh

Data governance continues to evolve – and quickly. Historically, Data Governance 1.0 was siloed within IT and mainly concerned with cataloging data to support search and discovery. However, it fell short in adding value because it neglected the meaning of data assets and their relationships within the wider data landscape. Then the push for digital transformation and...

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The ability to more efficiently govern, discover and protect sensitive data is something that all prospering data-driven organizations are constantly striving for. It’s been almost four months since the European Union’s General Data Protection Regulation (GDPR) took effect. While no fines have been issued yet, the Information Commissioner’s Office has received upwards of 500 calls...

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Due to the wealth of data data-driven organizations are tasked with handling, organizations are increasingly adopting automated data management. There are 2.5 quintillion bytes of data being created every day, and that figure is increasing in tandem with the production of and demand for Internet of Things (IoT) devices. However, Forrester reports that between 60 and...

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Data management and data governance are now more important than ever before. The hyper competitive nature of data-driven business means organizations need to get more out of their data than ever before – and fast. A few data-driven exemplars have led the way, turning data into actionable insights that influence everything from corporate structure to...

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