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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

By using metadata-enriched AI and a semantic knowledge graph for automated data enrichment, a data fabric continuously identifies and connects data from disparate data stores to discover relevant relationships between the available data points. Data fabric in action: Retail supply chain example.

MDM 84
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Five benefits of a data catalog

IBM Big Data Hub

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. It also serves as a governance tool to drive compliance with data privacy and industry regulations.

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Keeping Up with New Data Protection Regulations

erwin

For example, many retailers have robust, data-driven e-commerce operations that are international. Smaller, more brick-and-mortar-focussed retailers may have had to start from scratch. Fortunately, whenever the time comes, the first point of call will always be data governance, so organizations can prepare. employees).

GDPR 100
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How to responsibly scale business-ready generative AI

IBM Big Data Hub

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is watsonx.governance?

Retail 70
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Data Governance and Business Transformation

Collibra

Collibra organized a Data Governance and Business Transformation seminar in Paris recently, bringing together data managers from the financial, retail, transportation, and logistics industries. What Forrester describes as “Data Governance 2.0” According to Forrester, Governance 2.0 Governance Across the Enterprise.

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What is a business glossary?

Collibra

In other cases, differences could be down to the entity in question – for example, a retail bank would see customers as natural persons, while a corporate bank would broadly see them as companies. Data governance policies – It is indispensable to have sufficient governance around a business glossary.

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Surviving Radical Disruption with Data Intelligence

erwin

Without automation and the development of a governed data pipeline, you’ll never have enough data scientists in the front office to put the data to work. What processes should governance use? 1 of erwin Insights 2020, our virtual conference on enterprise modeling and data governance/intelligence.