davidjf

Among existing yottabytes of data, we will use, during our life, billions of information (data becomes information when it correspond to some conscious or unconscious project or objective I have...), but how much tacit or explicit knowledge (information embodied after really using it, "learning by doing"...)?

I always was reluctant to the next word, wisdom, the word appearing a bit too spiritual to me. But competency is a good one. In my opinion, competency emerges when knowledge can, in real life, be applied to some specific and useful process...

In front of a problem, everybody try to find the perfect expertise.

This is not so easy, our mind is always balanced between confidence and doubts. We are tempted to trust some nice sources, gambling unconsciously between pleasure of finding fast and cold and unpleasant hard work...

People are therefore statistically more tempted by "lovable fools" than by "competent jerks"

But KM topic still open !

- How can we separate Wheat & Chaff?

- Back to basics, KM jargon

- KM frontiers always moving, from time to time, need of refocus, its relation with HPT (Human Performance Technology)

- Companies have still to define their strategy on that...

- Some quick wins are possible...

What is real value of KM? It is highly of the type of work model we have in an organization, and alignment of decisions with it...

- Profit/employee becomes a new key indicator, even for Wall Street !

- But can we measure KM?

- Is knowledge sharing so easy?

- Must we collect information or can we get it from other sources? The old connection/collection debate...

And this dream of learning?

Can learning be made, with a good KM system, without human intermediation? I don't think so.

Some steps of learning are:

- Illumination (human based, sort of psychoanalytical transfer mode)

- Deepening (Can be Information based, personal work)

- Project, transforming information into knowledge (Vertical or horizontal human interaction necessary)

And, just for pleasure, why not some contest on KM...?

- Is KM dead?

- Let's kill KMS (KM Systems)

- Let's kill Knowledge Management

- Just found a good new book about KM and performance manager. It examines the partnership between decision-makers and the people who provide them with information to drive better decisions and suggestions for 42 decisions areas, taking into account the need to understand your data, but also plan and monitor performance.

- One way to start KM in an organization is to consider it as a service

- KM often needs technology, what do you do in front of that kind of people (good funny story about relation with technology ! I know so many people like that...)

More seriously, I like Martin Koser blog, with this relevant post on Management tools and Bain article

- The conventional wisdom today is that the flow of knowledge cannot be organized and driven by IT

Is that true?

- Management of K is not enough, you have too to do things !

- ...and always this relation between Innovation and KM techniques

- Librarians are the historically first "knowledge managers" in organizations. Now, all managers are supposed to be ! Are librarians out? Or any manager is the librarian?

- But classification not so easy: look at this good literature synthesis of some connected concepts

- Teaching (I'm a teacher) and KM tools: a relevant list of techniques

- PKM, a new buzzword or individual productivity still a key challenge?

and Davenport's thoughts about it

- Against dominant thoughts, creating knowledge, tagging changes and improves KM...

- I like this idea about KM strategy to capitalize on know-how can be counterproductive, in the case the know-how you store is average, too low level. It can inhibit employee's will to experiment.

- KM, organizational learning gurus still alive, studying how KM can be a link between NGO and companies, in case they want to cooperate.

-...and a good way to use knowledge at the bottom of the pyramid...

- Are incentives on KM good enough to stimulate K improvement?

Is BI so far from KM? Where is the real frontier?

Does BI concerns more "weak noises", unknown things, intelligence of outside and KM more known things, inside existing knowledge?

BI tools can be applied inside, e.g. to discover new concept through BI analysis of internal stream of messages!

So, what new on BI?

- Good strategy and BI: there is a clear convergence between strategy and BI

- Data mining is the central tool of any BI mechanism...