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Metadata Management, Data Governance and Automation

erwin

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. Data governance maturity includes the ability to rely on automated and repeatable processes.

Metadata 102
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What’s the Current State of Data Governance and Automation?

erwin

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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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. Lack of a solid data governance foundation increases the risk of data-security incidents.

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Overcoming the 80/20 Rule – Finding More Time with Data Intelligence

erwin

Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report. Data Intelligence in Context: Enabling Data Governance for Digital Transformation. This style of data governance most often presents us with eight one-hour opportunities per day (40 one-hour opportunities per week) to meet.

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erwin Automation Framework: Achieving Faster Time-to-Value in Data Preparation, Deployment and Governance

erwin

Data governance is more important to the enterprise than ever before. It assists in successfully meeting increasingly strict compliance requirements, such as those in the General Data Protection Regulation (GDPR). A mature and sustainable data governance initiative must include data integration.

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Fuel Data Intelligence with data governance

Collibra

But we’re here to tell you that the place to start is active data governance and it doesn’t require you to reinvent the wheel or scramble for every nickel and dime in your budget. These are just a few examples of the hundreds of companies making changes out there. The key: active data governance.