Data analytics pipeline best practices: Data governance

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While data and analytics fuel organizations forward, a vital aspect they must keep in mind is the impact of data governance in the analytics pipeline and the potential pitfalls to which it can lead. Most organizations do a haphazard job of data inventory and cataloging at best. It's not uncommon to learn after an assessment by a third party that a given business-to-consumer organization has massive amounts of personally identifiable information (PII) duplicated in hundreds if not thousands of different places. The most useful enterprise data is initially inaccessible to data innovation teams, with months of negotiation sometimes necessary to free up one data set or another from whichever data cartel controls it.

Vendor:
Google
Posted:
Nov 18, 2022
Published:
Nov 18, 2022
Format:
PDF
Type:
eGuide

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