- The 20 Best iPhone/iPad Games of 2013 So Far
- 9 Steps to Build Your Personal Brand (and Your Career)
- 7 Consumer Technologies Coming to an Enterprise Near You
- 11 Signs Your IT Project is Doomed
CIO - This week I attended EMC's analyst briefing, but before things started I had dinner with Jim Bampos, EMC's vice president of quality. Bampos is arguably the technology industry's leading expert in the area of customer care, with one patent in hand and two more in process.
I'd also just finished a review of the use of data analytics in the U.S. election and in that exercise had been fascinated by the fact that Mitt Romney didn't use analytics properly and President Barack Obama did.
Romney had better tools but outsourced the effort, while Obama created the capability internally, and the result is now history. What fascinated me was that the candidate who was a former CEO and widely believed to be the more capable manager clearly didn't know how to successfully use analytics-and likely mirrored many executives who use the buzzword but don't really understand what it means.
News: Presidential Election a Victory for Statistical Modeling
EMC, in contrast, is using analytics from its Green Plum acquisition to not only provide better service but to shift resources to areas where they can provide the greatest return. EMC is about to implement this competitively to focus customer acquisition efforts on area where its competitors are the most exposed.
Why Most IT Executives Hate Valid Data
What is fascinating about how analytics are used--and I think this played out in the recent election--is that they often fail against the common practice I call "biggest jerk at the table." The Argumentative Theory argues that people care more about winning an argument than they do about being right. When applied to business, this means that decisions are often made based on who is the most powerful person at the table. While the practice assures personal power, it also leads to a lot of mistakes.
Big data analytics can provide information that puts the data scientist in the position of power. The executive, to preserve his power, must resist. Rather than assure the accuracy of the data, efforts are made to make the results conform to the beliefs that powerful people already have. Not only are the decisions increasingly wrong, but data analytics is made redundant.
Why the Smart IT Executive Loves Valid Data
However, executives are increasingly learning that valid data leads to more accurate decisions, which in turn assures career advancement (in the form of far fewer catastrophic mistakes). This is playing out within EMC and an increasing number of EMC customers, all of whom who are applying data analytics to a diverse set of problems and reaping incredible benefits.
Not only is EMC able to anticipate equipment failures up to six months in advance, but the company can now identify which customers are most valuable, most at risk and too expensive to retain. Soon EMC will be able to analyze competitors this way, too. The result will be the capability to turn at-risk customers into loyal customers and to optimize sales efforts to target a competitor's most vulnerable customers, therefore optimizing its customer base for revenue and profit.