Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Or, read on for a brief summary.

Risk Management 52

Risk Management Risk Management Metadata 52

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Agile Manifesto get published. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Ontotext

MAY 5, 2023

Example: BoE and FCA Reporting In their Transforming Data Collection action plan, The Bank of England and The Financial Conduct Authority rely on ontological modeling and data representation to achieve key objectives: “Defining and adopting common data standards that identify and describe data in a consistent way throughout the financial sector.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

erwin

APRIL 21, 2020

It organizes them into a simple, easy- to-digest format and then publishes them to data communities for knowledge-sharing and collaboration. As COVID-19 continues to spread, organizations are evaluating and adjusting their operations in terms of both risk management and business continuity. Make Data Accessible & Usable.

Measurement 97

Measurement Sales Data Governance Metadata 97