Posted by Reilly Atkinson on March 31, 2003 at 18:50:23:

In Reply to: Re: KM theory and Practice posted by Katie Hawks on March 26, 2003 at 10:56:08:

Ms. Hawks -- You have raised some issues that I don't quite understand. First of all, I would very much like to understand how you convert data and information into knowledge. For example, I'm just starting a project to develop a "Churn Score" that can be used to identify clients ripe for intervention -- to keep them as active clients. My client is a financial services firm with substantial data on each client. This is a a project with relatively straightforward analytic requirements, and I'll develop the score from calibration of a logistic regression model. In my languaqe, I'll develop an algorithm from my client's data. I hope that I've given enough detail so that you can identify the role of data, information, and knowledge in my very routine project(I gather that my project would now be considered to be a CRM one.)

I've done hundreds of similar projects over many years. I've read many proposals for such data-driven projects. And I have never, over the course of thirty years or so, seen anyone suggest that they are supplying distinct "packages" of data and/or information and/or knowledge. That these are distinctly different items is a very recent idea (10 years or less), and I'm very unsure of the benefits of such a distinction.So, I would be most grateful for any explanation you can provide about why the differentiation between information and knowledge is, apparently, so important.

Regards and thank you,
Reilly Atkinson

---

Follow Ups:

---

Click Here to Post Follow Up in New Forums

    Knowledge Management Think Tank (New)

  

 Subject: 

Message: