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How a Big Data Strategy Can Fight Insurance Fraud

mjvinnovation

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.

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Big Data: get to know your customer to generate more business

mjvinnovation

In this context, Big Data provides important data about customer behavior. Big Data refers to data that grows unstructured and exponentially in the world and is driven by three factors: volume, variety and data rate. Big Data: Data analysis is what really matters.

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Digital Transformation Use Cases in the Oil and Gas Industry

Acuvate

According to the EY Oil and Gas Digital Transformation and the Workforce Survey 2020 , 58% of the respondents said the COVID-19 pandemic has made investing in digital technology more urgent, with a majority planning to invest a great deal (29%) or a moderate amount (51%) relative to their total budget. Let’s explore further. And, why is that?

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A better way: combining Business Intelligence with Design Thinking

mjvinnovation

Learn how to combine these forms of analysis and apply it in your business. A qualitative analysis of Business Intelligence is added through the experimental and collaborative methodology brought by Design Thinking. Big Data: data analysis is what really matters. A new approach: BI and DT.

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A better way: combining Design Thinking and Business Intelligence

mjvinnovation

Learn how to combine these forms of analysis and apply it in your business. A qualitative analysis of Business Intelligence is added through the experimental and collaborative methodology brought by Design Thinking. Big Data: data analysis is what really matters. A new approach: BI and DT.

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Innovation Failure: Ignorance or Arrogance?

Jeffrey Phillips

Schrage goes on to extol the values of experimentation and "big data" as methods to discover what customers really want, but here he loses me a bit. I worry that all the emphasis on "big data" will signal shifts that seem important but aren't, or miss factors that can't be captured in quantitative data.

Big Data 100
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The Life Sciences Industry: Decision Making from Batch to Continuum

IdeaScale

Digital capabilities and big data is transforming everything from discovery to commercialization. PWC in its 18 th global CEO survey reports that 50% of Pharma CEOs were concerned about the speed of technological change, up from 32% in the previous year.