The New York Times just had an interesting article on if Amazon is going to offer analytics in the Cloud.
I think the question is not if, but when. The value created by analytics is far greater than that of putting computing power in the cloud. Analytics can be used to find powerful correlations and give a much deeper level of insight to business managers as they try to make better decisions. That sounds great, right?
But it’s so vague, so squishy, so cloud-like. Perhaps what I’m concerned about is best evinced in the quote by Kyle McNabb, a vice president at research firm Forrester. “They could . . . possibly offer to match your data to other large data sets and find something useful.”
Possibly find something useful? That’s not the kind of thing you take to your boss with a purchase order.
I’ve seen this before. I went to a presentation by a leading analytics firm a few months ago, and the presenter/salesman said they often found “amazing things” when they looked at data. A question from the audience was if he could give an example of a business outcome tied back to these amazing things. He couldn’t. He said they were working at the “strategic” level, and removed from operations.
At Evolv, our focus is on finding things that are both amazing and useful. We support data driven workforce selection: using performance data to determine which candidates will make the best hires. We’re delivering 10% to 15% improvements to productivity combined with reductions in attrition of 30% or more.
All employers know that the top performers are radically more productive than the bottom performers. Evolv employers also know who is more likely to fall into that top rank before they hire them.
A challenge I see with analytics and big data is that it’s very expensive. It can be hard to build the business case for amazing things.
At Evolv, we know recruiting analytics and hourly hiring intimately. We have deep expertise on the business of our clients, and know what drives their profitability. We use that expertise to drive better outcomes. Our focus allows us to do so in a cost effective manner. The amazement we deliver is when we quantify the savings we deliver and show the quality improvements our process allows.
I’m very optimistic about the future of Analytics in the Cloud. I think the driving force for it will be focused, vertical solutions by providers that can optimize specific business functions where the impact is very valuable. Evolv is one of those.



