2018 Data Governance Metadata Strategy 
erwin
JANUARY 30, 2020
I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . Not surprisingly, the respondents that shaped the 2018 report ranked regulatory compliance as the No.
Cloudera
MARCH 3, 2022
Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.
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erwin
JULY 12, 2019
In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Given this, Oppenheimer & Co. Five Steps to GDPR/CCPA Compliance.
erwin
JANUARY 17, 2020
Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.
Domino Data Lab
APRIL 3, 2019
Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.
Alation
JULY 26, 2021
One of the first steps in any digital transformation journey is to understand what data assets exist in the organization. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. AmFam first implemented the Alation Data Catalog in 2018.
erwin
FEBRUARY 6, 2020
As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.
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