Blog: R

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Analytics: 2011 in Review and 2012 Predictions

Jan 2 2012

Now that the New Year is upon us it is time to review analytics in 2011 and look ahead to 2012.

2011 in review:

  • Analytics became a Sport: Several analytic competition sites became highly visible in 2011, the most prominent being Kaggle.com.  These sites host analytic competitions that anyone can enter and provide a rich learning environment for both new and seasoned analytic professionals.  The winners are not just those who place in the money - the winners are everyone who participates and learns within the community environment.   
  • Moneyball and Analytics Hype:  Speaking of sports, I'm a baseball fan so I naturally enjoyed the movie Moneyball.  Analytics hype continued to climb in 2011 with the help of that movie.  See this recent post for more on my thoughts on the state of analytics hype in 2011.   
  • 2011 was the year of R (an open sourced analytic solution widely regarded as one of the most powerful analytic tools available): Corporate adoption gained momentum in 2011, as the corporate analytic community continued to understand the power of the solution and myths such as it is not a tool for production environments were quickly debunked.

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Analytics: 2010 in review and 2011 predictions

Jan 11 2011

Now that we rang in the New Year, I thought we should take a look back on a few major 2010 analytic landmarks and then look ahead into 2011.

2010 in Review

Consolidation: Analytic consolidation continued to be highlighted by IBM's purchase of Unica, Netezza and Coremetrics.  Overkill especially given IBM's purchase of SPSS in 2009?  Maybe not given the heightened focus on online, big data and analytics.

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Large Analytic Data Environments: What are your options?

Apr 15 2010

In a recently published article Online Analytics in Action I provided options for building and maintaining large online environments that allows you to analyze the date efficiently, and make the results actionable within all channels. The options presented may be extended to any large analytic data environment, and not just one that incorporates online data.

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Analytics > Brainpower versus Software power

Sep 30 2009

I have been asked my opinion many times by clients on whether to hire strong analytic talent or spend that money on GUI-based semi-automated analytic software that the business users may use.  Both are costly so the answer should be based on ROI.

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