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Friday, May 26, 2017

IDG Contributor Network: 3 reasons big data analytics goes wrong

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Big datais enjoying major popularity at the moment, with algorithms and machine learning at the core of almost every business application. This cutting edge technology utilises massive datasets to run increasingly complex algorithmsto make decisions with far reaching consequences. Big data culture is becoming the norm as companies strive to acquire the business intelligence that comes as a result of predictive models and statistical analyses.

There is great value in this as it allows companies to draw conclusions and use prescriptive statistics to make intelligent business decisions. But at what point does the data start controlling the business user instead of the business user controlling the data? People seem to accept the power of big data at face value because if it was spewed out of a machine, it must be right. Right? Wrong!

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May 26, 2017 at 12:00AM

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from Gary Eastwood

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