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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing. Data governance is the foundation of EDM and is directly related to all other subsystems. – How do you plan to use these final data products?

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Why We Started the Data Intelligence Project

Alation

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. Aaron turned his attention from Alation Open to launch the Alation Data Catalog. Supporting the next data-literate generation.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

Is there a good map that shows the connections between data, advanced analytics, digital, innovation, etc. I would have to admit that there are few documents that talk about all the connections across any set of topics. Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases.

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“You Complete Me,” said Data Lineage to DataOps Observability.

DataKitchen

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages.

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Enterprise Analytics: Key Challenges & Strategies

Alation

Folks can work faster, and with more agility, unearthing insights from their data instantly to stay competitive. Yet the explosion of data collection and volume presents new challenges. Like many, the team at Cbus wanted to use data to more effectively drive the business. The third challenge was around trusting the data.