tag security-rule 
erwin
APRIL 2, 2021
How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Do You Know Where Your Sensitive Data Is?
Collibra
FEBRUARY 18, 2022
Technical Metadata: Provides information on the format and structure of the data, such as data models, data lineage or access permissions. . Business Metadata: Defines everyday business terms, such as table and column definitions, business rules, data sharing rules and data quality rules.
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erwin
OCTOBER 31, 2019
Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches. Don’t Scream; You Can Protect Your Sensitive Data.
Collibra
NOVEMBER 5, 2020
Who is the Steward of this data? What are the business rules for this data? Where did this data come from? When was this data last updated? How many databases or data sources store this data? Who is using this data? What is the security level or privacy level of this data?
AIIM
NOVEMBER 16, 2017
This is the seventh post in a series on privacy by Andrew Pery. You might also be interested in: Mitigate Data Privacy and Security Risks with Machine Learning. The Privacy and Security Dichotomy. GDPR and Cross Border Data Flows between the EU and the US: Current State of the Law. Check it out.
erwin
DECEMBER 12, 2019
Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc., Faster Speed to Insights: Reverse the current 80/20 rule that keeps high-paid knowledge workers too busy finding, understanding and resolving errors or inconsistencies to actually analyze source data.
Collibra
JULY 22, 2020
Organizations everywhere are scrambling to make the most of their data, but they often try to do so without a robust foundation that supports the enterprise. Sometimes they do this because they don’t know where to start, assume it requires too much heavy lifting, and fear a hefty price tag. Clarify owners and consumers of data.
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