I’ve recently co-authored an IT@Intel white paper titled “Broadening Access to Advanced Analytics in the Enterprise”. You can check it out and it here.
If I think of advanced analytic skills as a pyramid, with fewer and fewer practitioners as you work your way up the pyramid, then the focus of this program is on the skill level and ability to contribute to advanced analytic efforts for people whose advanced analytic skill is closer to the bottom of the pyramid. Is there a minimal amount of training and practice that most any knowledge worker can complete, that will enhance their ability to contribute to advanced analytic efforts, while stopping well short of the amount of effort people invest in becoming data scientists? I believe the answer is yes. This graphic has given me a lot of mileage when talking about this idea:
As I’ve been reading and studying the concept of using data and analytics as a source of competitive advantage, one of the behaviors that shows up frequently amongst those organizations that seem to be doing this the best, is the democratization of access to data and analytics. The idea is to recruit as many people in the organization into looking at and making use of data in their daily work lives as possible, and thus the emphasis on introductory training.
A related observation I’ve had personally is that while I see a lot of effort going into tools and technologies for doing Advanced Analytics / predictive analytics / data mining, I don’t see a corresponding effort around teaching or learning the skill of Advanced Analytics. The Advanced Analytics for Everyone program is my attempt at identifying what I can do to bridge that skill gap, and help recruit as many people into the analytic process as reasonable and possible.
You can read about the details of what we’re trying to do in the white paper. I am especially interested in hearing from others that have been thinking along these lines – what have you been doing that’s working well and not so well?
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