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A Survey Into Data Governance Tools

DataCamp

In a recent webinar, we discussed how data governance is a key component of an organization’s data strategy and enables it to harness the full value of data. For a data governance plan to succeed, it is important that the right tools and technology are employed.

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The Key Role of the Data Governance Partner

TDAN

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program.

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Improve Your Data’s Value With Data Governance

CDW Research Hub

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. But creating a data governance program is not something you can do overnight.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO Business Intelligence

Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. This is the overarching guidance that drives digital transformation.

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Who to Follow in 2019 for Big Data, Data Governance and GDPR Advice

erwin

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web. . —

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Practical Points from the DGPO: Three Key Aspects of Data Governance

TDAN

In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.

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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. Nurturing internal support.