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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity.

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Four Steps to Building a Data-Driven Culture

erwin

Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business.

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From Chaos to Control with Data Intelligence

erwin

Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos. With erwin DI as its data governance platform, Ultra Mobile has a one-stop shop to see all of its data – and data changes – in one place thanks to forward and reverse lineage.

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The What & Why of Data Governance

erwin

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

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Cloud Key Management Solution for Azure, Azure Stack and M365

Thales Cloud Protection & Licensing

To help mitigate the risk and unshroud organizational blind spots, today’s enterprises must look for leading-edge solutions that help with data governance and compliance. They are working to help customers transform their businesses to drive digital transformation for people, organizations, and industries worldwide.

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Top 3 lessons learned from Gartner Summit ’22

Collibra

We had over 500 people visit our booth this year and had the opportunity to share live demos on Data Quality, Data Catalog, Data Lineage and more. They recognize the importance of data and analytics to digital transformation, but they do not have the tools in place to ensure data democratization across their organizations. .