Remove Data Governance Remove Metadata Remove Reporting Remove Uncertainty
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The state of data quality in 2020

O'Reilly on Data

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. They don’t have the resources they need to clean up data quality problems. And that’s just the beginning. Respondent demographics.

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The Role of Data Governance During A Pandemic

Anmut

Data governance - who's counting? On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. The role of data governance.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

At IBM, we have an AI Ethics Board that supports a centralized governance, review, and decision-making process for IBM ethics policies, practices, communications, research, products and services. AI governance technology can help implement guardrails at each stage of the AI/ML lifecycle.

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How Your Finance Team Can Lead Your Enterprise Data Transformation

Alation

They need trusted data to drive reliable reporting, decision-making, and risk reduction. A Strong Data Culture Supports Strategic Decision Making. Our successful customers invest in and infuse data and analytics throughout the enterprise. Finance teams soon realize other key benefits of the Alation Data Catalog.

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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

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Implementing Data Governance in the Manufacturing Industry

Alation

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. With so much economic uncertainty, coupled with the unrelenting advance of “Industry 4.0” What are the benefits of data governance in manufacturing? Here’s how.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.