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Making the Case for Data Enablement (Rather Than Data Governance)

TDAN

There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me something like this, my first response is to chuckle and nod my head.

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Data Speaks for Itself: Placing Data Governance in Context

TDAN

Yes, let’s talk about data governance, that thing we love to hate. I just attended the 17th Annual Chief Data Officer and Information Quality Symposium in July, and there, I heard many creative suggestions for renaming data governance.

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5 Ways Data Engineers Can Support Data Governance

Alation

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

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How to rule your data world: The role of data governance

BI-Survey

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. This is where data governance comes in. .

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The Benefits of Data Governance in Banks and Financial Institutions

Alation

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

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A Data Prediction for 2025

DataKitchen

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. These teams are the hub, helping to enable many spokes.

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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.