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Greater Demand for Big Data Analytics in Healthcare
The arrival of Big Data approach in the areas of health, whether from the pharmaceutical, medical personnel or institutions of care, has raised many expectations.
In theory, the induced analytic approach would allow a structural change in the approach of diseases.
While long-term expectations are high, most of healthcare executives say they have yet to see substantial benefits from big data.
The Society of Actuaries (SOA) recent report found that 66% of leaders are enthusiastic about the potential of big data, while more than 87% said that data analytics will have an important impact on the business of healthcare in the future.
Another half of payers saying there is substantial business benefit (53%) by implementing big data analytics.
Big Data is not only about the data within the corporate firewalls but also about data outside the firewalls too. Hidden inside these vast reservoirs of data are insights that are waiting to be exploited for favorable business outcomes.
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Enter Hadoop, an open source project that offers a platform to work with Big Data. Although Hadoop has been around for some time, more and more businesses are just now starting to leverage its capabilities. The Hadoop platform is designed to solve problems caused by massive amounts of data, especially data that contain a mixture of complex structured and unstructured data, which does not lend itself well to being placed in tables. Hadoop works well in situations that require the support of analytics that are deep and computationally extensive, like clustering and targeting.
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