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Mastering healthcare data governance with data lineage

IBM Journey to AI blog

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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Understanding Data Governance

IBM Journey to AI blog

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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Solving Complex Telecom Challenges with Data Governance and Location Analytics

Precisely

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. This shortfall in effective data governance inhibits visibility and transparency.

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Snowcase Study: How Data Governance Gives Texas Mutual Insurance Company a Competitive Edge

Alation

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

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Unlocking the power of data governance by understanding key challenges

IBM Journey to AI blog

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. It needs linking with consistent master data, reference data, data lineage and hierarchies.

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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

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5 Common Data Governance Challenges (and How to Overcome Them)

Dataversity

It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance. Let’s break […].