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Knowledge Management

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Jay Duffner

on 13 December 2013

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Transcript of Knowledge Management

Data Storage and Retrieval
Knowledge Sharing
Knowledge Management Discussion
Jay Duffner December 3, 2013
Knowledge Management
What's in a name?
Expediting Learning for
Smarter Organizations
Sandra Montanino, Director of Professional Development at Goodmans


Ted Graham, Director of Knowledge and Learning at PWC
In the moment training is more effective than introductory training or periodic out of context training.

The concept of "just-in-time" training provides information and instruction as the skills are needed.
Training with context makes it more likely that the information will be retained and become useful.
How Does Knowledge Flow?
More Effective Training
In modern knowledge-driven companies, knowledge does not flow through hierarchies.

Knowledge is shared
- among peers
- between subject matter experts and those seeking knowledge
- between those directing programs and those working on them
Gene Expression Knowledge Sharing Network
Node size indicates number of incoming connections and represents the number of people who seek and individual out for information.
KM solutions should be driven by the organization as a whole
What are the pressing needs within the organization?

What are the bottlenecks and pain points with regard to data access, data manipulation, information sharing...

Can KM solutions provide an opportunity to do something we haven't yet thought of?

In many lectures at this conference people identified the perils of a "technology first" approach to knowledge management.
People and Process Come First
Big Data vs. Human Data
Dave Snowden, Founder and CSO
Cognitive Edge
Human Jobs and Computer Jobs
Are computers replacements for humans in the workplace?

Dave argues that computers should not be viewed as a replacement, but an augmentation to human capability
Computers
Humans
- Good at estimating risk and using statistics to find differences and similarities.
- Good at identifying the effect of multiple variables on a single outcome (humans are terrible at this).
- Good at storing and retrieving information with fidelity
- Good at performing repeated operations with fidelity.
- Good at recognizing patterns in analog data.
- Good at connecting disparate but related pieces of information together.
- Good at identifying relevant information and synthesizing information into stories to be shared with other humans (computers are terrible at this).
- Good at programming computers.
Complexity Thinking in Innovation
Dave Snowden stated the hypothesis that innovation is a complex problem.
A complex problem is not the same thing as a complicated problem.
- In complex problems, the available data support multiple, often conflicting hypotheses.
- Cynefin Framework
Overview of KMWorld 2013 Conference

Data Storage and Retrieval

Knowledge Sharing

Ritual Dissent
One good way to go about solving complex problems is to pursue multiple parallel, small, safe-to-fail experiments that mutate and evolve as expertise is gained.

One way to start the process is through a concept called "Ritual Dissent"
A method for generating and refining innovative ideas.
Ritual Dissent
Process
Form small groups and take 10-15 minutes to come up with an idea to pitch
One person from a team pitches the idea to another team (3 minutes). The other team can only listen.
The presenter turns his/her back to the audience while the audience discusses and critiques the idea...
The original presenter returns to his team with the feedback he/she has overheard.
The team refines the proposal and the whole process is repeated several times until the ideas are satisfactorily refined.
RESULT
Develop a set of small, testable, safe-to-fail experiments to try in a time-frame of weeks to months.

These experiments are meant to be refined, abandoned or merged as new information comes from the process.
"The easier you can communicate, the faster change happens."
-James Burke
Enterprise Collaboration and Technology Market Overview
Tony Byrne, President
The Real Story Group
Extend, Supplement, Complement
SharePoint is generally recognized to be feature complete, but application poor.

Organizations will have to decide how to add applications to enterprise systems to enable knowledge management goals.
Extend- Write code to get a platform to do what you want. Custom code.
Supplement- Install packaged software designed to work with or within an existing system.
Complement- Add a separate system that runs alongside the existing system.
Software "Subway Map"
...to shreds.
Thank You
ELN
Network Drive
Report
Presentation
SharePoint
Analysis
Analysis
Literature
Analytics Knowledge
Biological Knowledge
Insight from Previous Experiments
Study Design
Study Completion
Analytic
Analytic
Analytic
Analytic
Individual Analytic Analyses
Combined Analyses
Actionable Knowledge
External Data
Full transcript