erwin
NOVEMBER 6, 2019
erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. Data governance maturity includes the ability to rely on automated and repeatable processes.
erwin
MARCH 30, 2020
Managing and Governing Data From Lots of Disparate Sources. This data will be collected from organizations such as, the World Health Organization (WHO), the Centers for Disease Control (CDC), and state and local governments across the globe. Unraveling Data Complexities with Metadata Management.
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erwin
JULY 2, 2020
In particular, the tool helped them to design their qualification review, which is necessary in a pharmaceutical business. a senior manager, data governance at an insurance company with over 500 employees. Data Governance with erwin Data Intelligence. erwin Evolve users are experiencing numerous benefits. For Rick D.,
IBM Big Data Hub
JANUARY 3, 2024
With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.
erwin
FEBRUARY 19, 2021
Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.
erwin
FEBRUARY 7, 2019
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down. Metadata-Driven Automation in the BFSI Industry.
Collibra
MAY 25, 2022
At its core, FAIR aims to break down data silos by providing guidelines to make data: Findable – metadata and data should be searchable and should be easily located. Accessible – metadata and data should be accessible to users. Additionally, metadata should include qualified references to other metadata.
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