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Big Data & Taxonomies for Actionable Intelligence

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RPNA 4.0 Fact Sheet
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Big Data & Taxonomies for Actionable Intelligence

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What do a consumer goods manufacturer and a credit insurance group have in common? Both are subject to a variety of risks which, if not detected, may dramatically impact their operations and bottom lines. Delve into the challenges of putting together a semantic, technology-based business solution that monitors and reacts to a large amount of consumer feedback in real time, providing insights on consumer product quality. Hear how this approach assists credit risk analysts in the early detection of signals and events affecting companies’ solvency to anticipate default risks of targeted companies. Walk through this journey to solve real-world problems with business intelligence solutions based on semantic data and technologies.

What do a consumer goods manufacturer and a credit insurance group have in common? Both are subject to a variety of risks which, if not detected, may dramatically impact their operations and bottom lines. Delve into the challenges of putting together a semantic, technology-based business solution that monitors and reacts to a large amount of consumer feedback in real time, providing insights on consumer product quality. Hear how this approach assists credit risk analysts in the early detection of signals and events affecting companies’ solvency to anticipate default risks of targeted companies. Walk through this journey to solve real-world problems with business intelligence solutions based on semantic data and technologies.

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