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The Importance of Data Governance and Discovery in Analytics Projects

Dataiku

Whether we’re talking about data analysts running reports, data scientists developing models, or IT professionals trying to understand the data landscape, one of the biggest challenges that data practitioners face is the sheer volume of data that is available to them.

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. How do they bring all of that data together?

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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

Cloudera research projected that more than one third (36%) of organizations in the U.S. AI, and any analytics for that matter, are only as good as the data upon which they are based. Cloudera is now the only provider to offer an open data lakehouse with Apache Iceberg for cloud and on-premises.

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From Chaos to Control with Data Intelligence

erwin

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 New products and services.

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70% of legal departments don’t invest in digital transformation: Report

CIO Business Intelligence

Data and project management top transformation initiatives. Data and project management were ranked as top transformation initiatives by 30% of respondents who had said that they have made some investment in digital transformation over the last two years.

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Five benefits of a data catalog

IBM Big Data Hub

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?