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Data Warehouse
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Per AdAge, at least one insurance company has partnered with an electric toothbrush manufacturer to share brushing data.Be the first to comment
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While insurance marketers have long used data to segment and target customers, analyzing and acting on this data offers even more.
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What can you do with the money you'll save as data center needs decline, thanks to server and compute efficiency advances?
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To create an accurate budget you need visibility into a single set of data and the ability to see clear across your organization – regardless of geographic locations, currencies, and other barriers.
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MetLife uses 10Gen's MongoDB database to quickly integrate disparate data and deliver a consolidated view of the customer.
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Investors eye the growing wearable health device market as sensors become more sophisticated and deliver more health information to consumers.
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Simply adding more variables can amplify meaningless feedback and add complexity. Profitable use of big data for improved pricing accuracy and enhanced customer experience will require isolating predictive factors.
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The newly rebranded vendor's InsureRight offering, now covering all lines of business, is designed to give carriers statistically valid portfolio insights that they can distribute to individual underwriters in a simple, easy-to-understand language.
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Most insurance companies have at least one big data effort under way, if not more. The cloud can help meet those needs without breaking the bank.
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Analytics trendsetter Think Big uses Pentaho open-source tools to create predictive models using Hadoop and NoSQL databases.
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State's dominant insurer seeks clinical and administrative data for care management and reporting to state health insurance exchange.
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Increased risk exposure to risk due to social media and channel proliferation, as well as a focus on data and analytics projects in the "big data" era, is raising the profile of the chief risk officer within the insurance enterprise, according to Ernst & Young.
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Convinced you need a big data platform to manage your organization's expanding volumes of information? A traditional database may be good enough.
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The cloud, mobile and big data movements put a premium on speed and innovation, not just efficiency and security.
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The paramount IT tasks for every firm should be to shift to the most agile possible approach for dealing with legacy issues, thereby reducing legacy spending, and then devote the freed-up funds to innovation instead of to overhead.
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IBM CEO Ginni Rometty says big data and predictive decisions will reshape organizations, and computers that learn, like Watson, will be tech's next big wave — specifically in insurance.
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Analytics from massive clinical data repository are central to closing gaps in care, HIMSS attendees told.
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New Healthagen business unit will sell integrated care coordination, population health management, physician workflow transformation services.
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With extraordinary events becoming common, insurers can create cost savings and operational efficiencies and customer service improvements by integrating disaster response with day-to-day operations.
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Insurers typically spend three to five percent of their revenue on IT, but they spend only a very small fraction of that on determining if they are maximizing their investment. That needs to change.
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Here's how to take advantage of the latest technologies to boost server efficiency as well as performance.
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The new hire will assist the company's underwriting, marketing, and claims operations with data mining and predictive modeling.
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Technology is one of four key elements that both P&C and life insurers must get right to grow at the rates that equity analysts – and, by extension, the worldwide investment community – expect.
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Some companies vow to protect consumers from use of their personal data by insurers.
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Channel and device proliferation, as well as hunger for big data, mean insurers must be more vigilant than ever about securing policyholders' personal information.
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