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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.

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

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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. To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change.

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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. For E.ON, data governance is not just about data management but also about using information to increase efficiencies.

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The Role of the Data Catalog in Data Security

Alation

We discuss how they are running the business of IT and cover subjects like digital transformation, business/IT alignment, IT leadership, and leading innovation. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection.

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Data Maturity Models | Measure The Health Of Your Data

Anmut

As such, rudimentary data is used for reporting purposes, but it doesn’t influence wider business operations or strategic decision-making. This stage is typical for organisations that are just starting to develop their data strategy. Data lineage is understood, but only partially mapped.

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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.