What gets measured (and valued) gets done

Most everyone has heard Peter Drucker’s famous dictum “What gets measured gets done”, the implication being that unless specific behaviors and outcomes are measured they aren’t likely to be given much attention.  In this month’s HBR, Dan Ariely suggests that this notion of measurement-driving-behavior explains many of the problems with current CEO behavior and suggests [...]

The Era of Big Data: IBM Gets It

I’ve written before about how IBM dove headfirst into the world of Big Data.  They’ve made a big bet on the revolutionary possibilities available to business, governments, and individuals given the revolution in data capture and analytics we are entering.  At this point you’ve all seen this point made in various ways through IBM’s Smarter Planet [...]

Cloud Analytics from Big Blue

Music to analytically-driven ears: [...] IBM is unveiling a new internal analytics product that the company is touting as the “largest private cloud computing environment for business analytics in the world,” which launches internally with more than a petabyte of information. Along with this internal product, IBM will launch a companion product for clients to [...]

Evaluating Human Capital Investments Through the Prism of Baseball

[Fair warning: what follows is quite lengthy] Well, it is performance review time at work and this reminded me of a post I’ve been meaning to write for a while. An issue that has always interested me is how organizations measure individual performance.  Organizations have finite resources and therefore must deploy those resources in the [...]

“Science these days has basically turned into a data-management problem”

So says Professor Jimmy Lin at the University of Maryland in a recent NYT Technology article about the shortfall in “Big Data-competent” university students.  The article points out that the kind of data we are now dealing with (which will only continue to increase exponentially) requires a different perspective and experience than most currently have.  [...]

Challenges of Consuming Real-time Data

I’ve run across quite a few stories lately discussing the 1) the revolution in data production we are living through and 2) the challenges we face in being able to sift through and view that data in a meaningful way through the web. The first comes from GigaOM, where Jennifer Martinez looks at the emerging [...]

Personal Analytics

For those that are interested the “living by numbers” and personal metrics trend, be sure to check out your.flowingdata. Your.flowingdata is a great interface that allows you to track your daily behavior through quick, direct messages on twitter.  Want to track how far you walk, how much you eat, how often you spend online versus [...]

Linkage for Sunday

Dan at Predictably Irrational further discusses the results of his FREE! experiment.  Basically, the simple fact that something is made available free creates a preference for that good even when the relative difference in price between that good and a presumably better one stays constant.  However Dan recounts the results of some different variations on [...]

More on a Data-driven World: Links & Commentary

Last week I wrote about the increasing demand for analytically-skilled, sophisticated statisticians by all sorts of companies looking to take advantage of our increasingly data-driven world.  This past Wednesday, the New York Times published another piece yet again highlighting this trend: As suggested by Daniel Pink’s assertions on the rise of a right-brained working elite, [...]

Profiting from an Analytically Driven World

The NY Times had a great article yesterday profiling the increasing fortunes for advanced statisticians.  As the world has become more data-driven and flush with raw numbers, the need to derive sophisticated insights from all that data has increased. Data does not speak for itself: The new breed of statisticians tackle that problem. They use [...]