erwin
JANUARY 7, 2021
In highly regulated environments, such as financial services, healthcare and pharma, attestations, audit trails and compliance reporting are required regardless of circumstances and will be difficult with a manual, laborious approach. However, that definition is too narrow in terms of AI’s relation to data governance.
erwin
DECEMBER 20, 2018
But to ensure the collaborative take on data governance is implemented properly, an organization must settle on a common definition. for Financial Services. www.erwin.com/blog/data-governance-2-0-financial-services/. The evolution from Data Governance 1.0 to Data Governance 2.0 Data Governance 2.0
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Collibra
NOVEMBER 3, 2020
Others may deliver the ability to manage critical data elements, metadata, and data quality testing. . CCAR MRA reporting: An efficient platform delivers the Fed’s FR Y 14 M/Q/A and FR Y 9C schedule and data points definitions. They can connect to your other systems in an automated and integrated way.
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. Metadata-Driven Automation in the BFSI Industry. The banking, financial services and insurance industry typically deals with higher data velocity and tighter regulations than most.
Collibra
AUGUST 14, 2023
Our framework is informed by our definition of AI governance: AI governance is the application of rules, processes and responsibilities to drive maximum value from your automated data products by ensuring applicable, streamlined and ethical AI practices that mitigate risk, adhere to legal requirements and protect privacy.
erwin
DECEMBER 17, 2020
The same is true for data, with a number of vendors creating data models by vertical industry (financial services, healthcare, etc.) By having a single definition of something, complex ETL doesn’t have to be performed repeatedly. Cloud migration and other data platform modernization efforts: definition is missing here.
erwin
SEPTEMBER 25, 2020
Data modeling is a critical component of metadata management , data governance and data intelligence. erwin Data Modeler (erwin DM ) is an award-winning data modeling tool used by Fortune 500 companies, including some of the world’s leading financial services, healthcare, critical infrastructure and technology firms.
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