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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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Digital Transformation Examples: Three Industries Dominating Digital Transformation

erwin

Digital transformation examples can be found almost anywhere, in almost any industry. Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. Digital Transformation in Retail. Digital Transformation in Municipal Government.

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DPIAs for retail and hospitality 

IT Governance

It’s relevant for everyone, including retail and hospitality. Retail and hospitality organisations will likely need to conduct several to cover all their processes, both new and existing. Common activities for retail and hospitality requiring DPIAs. The ICO also has excellent guidance on exactly when to carry out a DPIA.

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Improving government services with Collibra Data Quality & Observability: A closer look at the food stamp program

Collibra

In our data-driven age, data quality is crucial for any organization — but it’s particularly vital for citizens who rely on government agencies to provide essential services. Government programs of all kinds can benefit from the use of Collibra Data Quality & Observability.

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Halfway to Data Access Governance

Collibra

If you’re a Collibra customer, chances are you’re already made significant progress in establishing an expansive data access governance program even if that wasn’t your original intent. The three components of a scalable data access governance foundation. Data classification for data access governance.

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Top 10 Data Governance Trends for 2020: Data’s Real Value Comes Into Focus

erwin

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

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Automated governance and trustworthy AI

IBM Big Data Hub

Governments and regulatory bodies around the world are working to establish safety standards. The proposed rules aim to govern automated valuation models to protect borrowers. As governments recognize and regulate the growing use of AI for crucial decisions, enterprises should prepare proactively. In the U.S.,