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Back to the Financial Regulatory Future

Cloudera

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

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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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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. This enables proactive decision-making, ensures consistency and improves operational efficiency. This accelerates time-to-market and reduces development costs.

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

Ontotext

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. We think their adoption will bring benefits well beyond reporting. Integrating reporting to move to a more streamlined, efficient approach to data collection.

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

Andrew White

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. How does CDO overlap with Market Research functions? Product Management.

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Key Insights: Forrester’s New Data Governance Solutions Landscape

Alation

There seem to be as many data governance vendors as there are data governance definitions! But by reviewing the offerings of the leading 18 vendors, Forrester Research’s new report, The Data Governance Solutions Landscape, Q4 2022 , can help you narrow your options based on core and extended features, size, and industry focus.

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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. Complex infrastructure not needed. Setting them up is a byzantine, time-consuming process.

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