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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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CDOs and CDAOs: Rethink your role or fade away

CIO Business Intelligence

Out of the back office The first wave of CDOs and CDAOs focused on back-office tasks such as data governance, data quality, and data management, but people in the positions now need to become more visible by showing how they bring value to the business, Duncan says. Markets don’t always have the patience for that.

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Enabling Integration and Interoperability Across the Grid with Knowledge Graphs

Ontotext

Current electricity data standards EU legislation, such as REMIT , charges the European Network of Transmission System Operators for Electricity (ENTSO-E) with collecting electricity market data from TSOs. TSOs must provide this data in a format from the IEC’s family of standards known as the Common Information Model (CIM).

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The quest for high-quality data

O'Reilly on Data

As model building become easier, the problem of high-quality data becomes more evident than ever. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Data integration and cleaning.

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SAP poaches Microsoft exec as its new global head of AI

CIO Business Intelligence

Sun has a PhD from MIT and continued to publish academic research papers during his time at Microsoft, in addition to teaching at Seattle and Washington universities. SAP has appointed a new global head of artificial intelligence, Walter Sun, after the previous post-holder quit to found her own AI startup. Spoiler alert: it failed.)

IT 104
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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

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Data Mesh 101: How Data Mesh Can Be Used in an Organization

Ontotext

Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage. Establish and enforce data governance by ensuring all data used is accurate, complete, and compliant with regulations.