Predictive Analytics Strategy – The Way Forward

Predictive analytics is now sexy in the business world. While predictive analytics has many benefits and can help organizations gain competitive advantage, the hype may be causing false expectations. There is a mistaken belief that all you need is new data crunching technology, big data and some business analysts to find meaning in the data - and wala - you can make predictions. This is a recipe for disaster.

Rea..

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How the Internet of Things Changes Big Data Analytics

Yes, there’s plenty of hype surrounding the Internet of Things (IoT). But this is one time the hype underestimates what comes next. IDC says there will be 28 billion sensors in use by 2020, with $1.7 trillion in economic value. The scale, breadth, and business value will exceed anything seen in the past. Ray Kurzweil’s Singularity is here. IoT will be an order of magnitude bigger than big data in scale and value.

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Data Analytics Where We Are Vs Where We Should Be (And How to Get There!)

As healthcare continues to shift to a value-based care model, organizations are forced to identify where costs can be cut and care improvements can be made. While there are a number of data analytics solutions that can help healthcare institutions with these efforts, significant headway can still be made when we look at where we currently are with leveraging analytics versus where we could (and should) be.

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10 Big Data Use Cases Everyone Must Read

For many, it's a nebulous term that invokes images of huge server farms humming away. Or perhaps you think of receiving some kind of personalized advertisement from a retailer. But big data is so much deeper and broader than that. I believe there are 10 major areas in which big data is currently being used to excellent advantage in practice - but within those arenas, data can be put to almost any purpose. This is one of the biggest and most publicized areas of big data use today.

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Big Data Needs Smarter, not Bigger, Infrastructure

If you think you know what Big Data is going to be like based on the volume of today’s workflows, well, to coin a phrase, “you ain’t seen nothin’ yet.” The fact is that with the sensor-driven traffic of the Internet of Things barely under way, the full data load that will eventually hit the enterprise will be multiple orders of magnitude larger than it is today, and much of it will be unstructured and highly ephemeral in nature, meaning it will have to be analyzed and acted ..

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