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Leave risk behind by embracing customers’ needs

Aryng

But how do you know what the customers want? Customer research helps in identifying the customers’ […] The post Leave risk behind by embracing customers’ needs appeared first on Aryng's Blog. Everything falls into place once their experience is satisfying.

Risk 52
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The Race For Data Quality in a Medallion Architecture

DataKitchen

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Whether it’s customer analytics, product quality assessments, or inventory insights, the Gold layer is tailored to support specific analytical use cases.

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Beyond growth: M&A as a strategic transformation enabler

CIO Business Intelligence

The next generation of M&A strategy brings emerging digital capabilities to the forefront in support of both opportunities and risk mitigation. What data sources and analytics would enhance or expand positioning? Can improved customer analytics drive actionable insights?

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Regulations and compliance requirements, especially around pricing, risk selection, etc., What differentiates Fractal Analytics? We are rated as a Leader in the Forrester Customer Analytics Service Providers Wave, with industry leading scores across most contributing dimensions.

Insurance 250
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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Analytics products represent the user-facing and client-facing derived value from an organization’s data stores. Data scientists work with business users to define and learn the rules by which analytics models produce high-accuracy early warnings. (c) These may not be high risk.

Analytics 166
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AI and Analytics Importance in Automotive Industry

Smart Data Collective

Meanwhile, the aftersales process can be easily automated by detecting if the customer has switched a garage from an official one to an independent one, why it happened and advice on how to mitigate this risk in the future. Customer Analytics. Autonomous and connected vehicles.

Analytics 117
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Is It Time to Jump-Start Your Data Offense?

Juice Analytics

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? For example, offensive strategies are often employed at organizations that operating in largely unregulated industry where customer analytics can differentiate.

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