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Data privacy examples

IBM Big Data Hub

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. One cannot overstate the importance of data privacy for businesses today.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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How Data Governance Protects Sensitive Data

erwin

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Do You Know Where Your Sensitive Data Is?

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Unlocking the power of data governance by understanding key challenges

IBM Big Data Hub

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

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Data Governance Makes Data Security Less Scary

erwin

Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches. Don’t Scream; You Can Protect Your Sensitive Data.

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Understanding Data Governance

IBM Big Data Hub

If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?

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Why data governance is essential for enterprise AI

IBM Big Data Hub

However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves. Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators.