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Predictive analytics knocks! Can you hear it Eric?

Predictive Analytics

Big Data and Predictive Analytics are encapsulated in the reality that nothing can be taken for granted.

Dave Bratt’s win this month against longtime House Majority leader, Eric Cantor, reminds me of  Maya Angelou’s sentiments:

I love to see a young girl who goes out and grab life by the lapels. Life is bitch, you have to go out and kick ass.”

And so David Brat, a little unknown college professor will sit on Eric’s throne in the foreseeable future.

Did Dave Brat concern himself with Predictive analytics and Big Data?

He did say it was a ‘miracle from God.’

 Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends.  Predictive analytics does not tell you what will happen in the future. It forecasts what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk assessment.

A very deliberate process. Wouldn’t you say?

Now here is Mr. Cantor’s response to the upset during an interview with ABC:

I don’t think anybody in the country thought the outcome would be what it was.”

He will step down from his leadership post  at the end of July.

The climate has changed Eric. The weather is more, shall we say, unpredictable?

Cantor, who was  first elected to the House in 2000 is  currently the second most powerful member. But, has now become the first House majority leader to lose his re-election bid in a primary in over 100 years.

“I don’t think”  is not a good strategy; at least not anymore.

Forecasting what might happen in the future with an acceptable level of reliability, is.

More and more organizations recognize that now is their ah-ah moment in time. Impressed upon them, is the reality that their success is inextricably linked to the intelligence that can be gleaned from Big Data.

Big Data is the conduit for Predictive analytics.

Source:

http://www.webopedia.com/TERM/P/predictive_analytics.html

 

 

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