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Back to the Financial Regulatory Future

Cloudera

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

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Business process management (BPM) examples

IBM Big Data Hub

Through BPM, disparate data sources—including spend data, internal performance metrics and external market research—can be connected. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.

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Data-driven competitive advantage in the financial services industry

Cloudera

It must support a variety of data sources to enable timely and relevant services to meet customer needs effectively while maintaining flexibility to adjust to evolving market developments. . Addressing new customers and markets. Personalizing the customer experience. The need for speed.

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The Power of Ontologies and Knowledge Graphs: Practical Examples from the Financial Industry

Ontotext

Thanks to their modularity, ontologies can be easily modified, expanded or refined to accommodate new concepts, regulations or market developments as the industry evolves. Example: Refinitiv PermID Refinitiv reuses part of FIBO’s Entities and Corporate bodies ontology when publishing company data in the permid.org related products.

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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

Further, the tools and devices available on the market are proprietary and prone to vendor lock-in. That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Traditional supply chain analytics and decision-making focused on risk avoidance and control.

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Key Insights: Forrester’s New Data Governance Solutions Landscape

Alation

It’s true that data governance is related to compliance and access controls, supporting privacy and protection regulations such as HIPAA, GDPR, and CCPA. Yet data governance is also vital for leveraging data to make business decisions. The Data Governance Market: Evolution and Dynamics. Policy management.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. How does CDO overlap with Market Research functions?