Remove Measurement Remove Metadata Remove Reporting Remove Risk Management
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How A Data Catalog Enhances Data Risk Management

Alation

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. Download the complete white paper now.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Capture and document model metadata for report generation.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

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BI Data Lineage Solutions: Your Trusted Guide For Success

Octopai

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

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.)

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Top 7 Data Governance Blog Posts of 2018

erwin

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Its value can be hard to demonstrate to those who don’t work directly with data and metadata on a daily basis.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

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 Allows metadata repositories to share and exchange.