HR Data-Mining?
A recent article in ISPI’s March 17th ”Performance Digest” by Stephen Baker (originally published in Business Week) about HR data-mining described a company that built a program to sift through employee-generated data to generate graphic representations of how much value individual employees add to the enterprise. The premise is that this brings a scientific and rationale approach to managing people. “‘You have to bring the same rigor you bring to operations and finance to the analysis of people,’ says Rupert Bader, director of workforce planning at Microsoft.”
As far as I can tell, one of the tools looks at how many meetings the individual has with other employees and then generates a chart with circles around each employee. The bigger and darker the circle, the more value they add. When it’s layoff time, look at the small/light-colored circle employees. The article describes the chart as looking “like colorful pop-art doughnuts flying through space.”
There has to be more to it than that…doesn’t there? Or, is this just one more example of how someone is substituting the use of a computer algorithm processing available data for thinking and judgement using information?
Part of this has to be well-intentioned. Managers today are overwhelmed with tasks and information. So, if a computer can “crunch” something easily and spit out an answer, it has a certain appeal. And it feels objective. But it misses the point.
One place the program searches is calendars. First of all, why assume that the employee with lots of meetings is more valuable than one that isn’t? Maybe there are valuable employees, such as engineers and researchers, who are working on developing new products and really don’t meet that much? I would argue that new product development is usually more “value-add” than 90% of the meetings that happen in corporations. Let’s face it…there are a lot of meetings that are held only because they were scheduled. Or meetings where nothing gets resolved so another meeting is scheduled. Then, the first 20 minutes of the follow-up meeting is spent revisiting what happened at the previous meeting because everyone wasn’t there (and even those that were don’t remember what was decided)!
Another factor the tool considers is communications (e.g., emails and documents) generated by employees. The idea is to find terms or phrases that recur and figure out who started them. Basically, who gets quoted. The employees that start the most memes are apparently considered the ”thought leaders.”
Maybe. Or maybe people just forward and copy stuff to others because they don’t have time to think things through. I can’t count the number of times someone sent me an email I didn’t need. Or that didn’t really answer the question I asked–but the email gave the responder the illusion that they “handled it.”
I also can’t count the number of times I have been annoyed at people who spend all day talking and emailing and not PRODUCING ANYTHING!!! (But, that was before I realized that they were thought leaders…)
The article does point out that this approach misses the non-electronic work and communication. This is a serious issue–it is just way too easy to assume everything important that happens is digital. It isn’t. Digital just means it is easy to store and track data equivalent to mountains of paper. But conversations, white board/chalk-talks, and other in-person forums are also ways that real thought-leaders influence others.
What seems the strangest tacit assumption is that the ideas and, in particular, words are the most valuable contribution an employee can make to an enterprise. Actual work output may be other than words…those things would not be counted. And that would give you a skewed answer. Words are often not the best way to transfer ideas. Sometimes a demonstration or picture is better. And lot’s of ideas amount to no actual value at all. Sometimes they are a distraction! But at best, they require the 99% perspiration before any value is realized.
You have to wonder if part of the reason our economy is struggling is that we no longer value work–instead we value the bright idea that allows someone to strike it rich and coast.
One thing I thought was interesting was the idea of tracking employee skills and experience. I’ve seen that attempted before and, without a structure (i.e., categorization scheme or taxonomy) the result was an un-manageable mess. And with a structure, it gets too complicated for most people to tolerate it. And it isn’t really logical to assume that the skills people needed in the past will help identify skills needed in the future. Though, I could see where trends could give you a view of growing vs. declining needs. And it definitely makes sense as a way to manage the inventory…that is, what the organization may be at risk of running short of in the future. But that assumes an intelligent management team understanding what capabilities we will need down the road.
Somehow, we need to tame our fascination with IT and digital information. They are tools that we can leverage to get work done…not an end in themselves.
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