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Will big data solve the innovation gap?

Jeffrey Phillips

The gap is real, and it means that many companies aren't as profitable or as competitive as they'd like to be. Lately, with the advent of "big data", machine learning and other factors associated with data and more intelligent processes, the argument has been made that these capabilities will solve the innovation gap.

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Infoxication: Why Big Data is the solution

mjvinnovation

Here, let’s reflect on Infoxication at the business level, which has to do with the concept of Big Data, as we will see throughout this article. Find out how your business can take advantage of this phenomenon and how to deal with Big Data in a profitable way and more! As you saw, the problem is a given.

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Social Networks and Big Data: the best strategy for getting to know your customers

mjvinnovation

This is because the volume of daily data produced in these virtual environments is a real gold mine for companies prepared to prospect for it. Keep reading to understand how you can benefit from the combination of Social Networks + Big Data. Social Networks: the gold mine of data. And Big Data is the tool for the job. ?

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. Myth 2: Data Analytics is extremely expensive.

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How to Avoid Disruption with SODA

BrainZooming

and Sam Stewart about how Av oiding Disruption Requires Rapid Decision Making. They advance a model explaining superior fighter pilot performance as a recommended way for how to avoid disruption in your markets. How to Avoid Disruption with SODA. From this exercise, you can develop a better sense of areas primed for disruption.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

In frameworks and mechanisms , my favourite has always been the three horizons , followed by ideation platforms and contests, innovation centres, labs and accelerations, ambidextrous growth ( explore and exploit ), taking principles of disruptive innovation and staged and venture funding approaches. Open Innovation 2.0 (or

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Why Your Company Needs Data Analytics

Daniel Burrus

Data analytics is the science of extracting patterns, trends, and actionable information from large sets of data. Think of business intelligence as the ways in which companies use data to improve their management and operations.

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