Knowledge Management Life Cycle Model Exercise
Summary
TLDRThis video offers a comprehensive guide on implementing a knowledge management life cycle model, focusing on the development of a consumer lending knowledge base for auto loans. It outlines the process starting from evaluating existing infrastructure, forming a knowledge management team, capturing and codifying expert knowledge, to system verification and validation. The video emphasizes the importance of understanding the domain, utilizing tools like interviews for knowledge capture, and maintaining the system for effective loan sanction decisions.
Takeaways
- 📚 The video focuses on the knowledge management cycle model, explaining its phases and how it can be applied in scenarios like exam preparation.
- 🛠️ The first phase involves evaluating the existing infrastructure, understanding current models, and identifying gaps within the organization's knowledge management system.
- 👥 A knowledge management team is formed, bringing together resources and experts to work on the project.
- 📥 Knowledge capture is a crucial phase where information is gathered from experts with in-depth knowledge about existing projects and organizational processes.
- 📝 The captured knowledge is codified and organized into a usable format, often using decision trees, frames, or rules for easy access and decision-making by intelligent systems.
- ✅ Verification and validation of the knowledge management system follow, ensuring that the developed model meets the requirements. Any gaps identified necessitate revisiting earlier steps for refinement.
- 🚀 Implementation of the knowledge management system within the organization takes place, accompanied by an assessment of real-time challenges faced by employees.
- 🔍 Post-system evaluation is conducted to identify any drawbacks or issues encountered by users of the new model.
- 🏦 The video outlines a specific scenario where a knowledge base is developed for consumer lending, guiding junior officers in auto loan approvals with the help of experienced experts sharing their knowledge.
- 🔄 Continuous maintenance and updating of the knowledge base are essential, including adding new rules and knowledge to ensure the system remains effective and up-to-date.
Q & A
What is the first phase in the knowledge management system life cycle model?
-The first phase in the knowledge management system life cycle model is evaluating the existing infrastructure, which involves understanding what is already available in the organization, including existing models and softwares.
What is the purpose of developing a knowledge management team?
-The purpose of developing a knowledge management team is to rope in a group of people or resources in order to complete the project, ensuring that the necessary expertise and skills are available to move the project forward.
How does the knowledge capture phase contribute to the knowledge management system?
-The knowledge capture phase contributes to the knowledge management system by gathering knowledge and information from experts who have ample knowledge about existing projects and the complete job done inside the organization.
What is the significance of designing a knowledge management system blueprint?
-Designing a knowledge management system blueprint is significant as it involves codifying the captured knowledge into a structured form that can be used by the system to make decisions.
Why is it necessary to verify and validate the knowledge management system?
-Verifying and validating the knowledge management system is necessary to ensure that there is no gap between the requirements and the developed model, and to achieve a proper understanding and design of the model.
What are the challenges that employees might face when implementing a new knowledge management system?
-Employees might face challenges such as adapting to the new system, understanding how to use it effectively, and dealing with any technical issues that may arise during the implementation of the new knowledge management system.
How does the post-system evaluation help in the knowledge management life cycle?
-Post-system evaluation helps in the knowledge management life cycle by identifying drawbacks and problems that employees face when using the new model, allowing for necessary adjustments and improvements to be made.
Can you provide an example of how to apply the knowledge management life cycle model to a real-world scenario?
-An example of applying the knowledge management life cycle model to a real-world scenario is developing a consumer lending knowledge base to guide junior bank officers in providing loans, where the model would involve identifying the problem domain, capturing knowledge from experts, codifying it, implementing the knowledge base, and maintaining it for regular use.
What tools or methods can be used for knowledge capture in the knowledge management process?
-For knowledge capture, tools such as interviews, surveys, and documentation reviews can be used. The major and prominent tool mentioned in the script is the interviewing tool, where experts are interviewed to gather their knowledge.
How does codification of knowledge help in making the knowledge base accessible for decision-making?
-Codification of knowledge helps in making the knowledge base accessible for decision-making by converting the captured knowledge into a form that can be easily used by intelligent systems, such as decision trees, frames, decision tables, or sets of rules.
What is the role of maintenance in the knowledge management system life cycle?
-The role of maintenance in the knowledge management system life cycle is to ensure the system remains up-to-date and functional by adding new rules, updating the knowledge base, and addressing any issues that arise to maintain proper functioning.
Outlines
📚 Understanding the Knowledge Management Life Cycle
This paragraph introduces a video segment focused on knowledge management, specifically the knowledge management system life cycle model. It begins by emphasizing the importance of evaluating existing infrastructure within an organization, which includes understanding the current models and software in use. The paragraph then outlines the subsequent phases: forming a knowledge management team, capturing knowledge from experts, designing a knowledge management system (KMS) blueprint, codifying and verifying the knowledge, and implementing the system. The process concludes with post-implementation evaluation to identify any issues or drawbacks. The paragraph also introduces a hypothetical scenario where a consumer lending knowledge base needs to be developed, highlighting the need to understand the domain and the steps involved in the auto loan sanctioning process.
🤝 Leveraging Expert Knowledge for Loan Sanction Model
The second paragraph delves into the practical application of the knowledge management life cycle model, particularly for developing a loan sanction model. It suggests engaging with experts within the organization who are willing to share their knowledge. The process involves capturing this knowledge through interviews and other mechanisms, then codifying it into a format that can be used by intelligent systems, such as decision trees, frames, or rules. The paragraph emphasizes the importance of implementing the knowledge base so that loan officers can use it to make informed decisions. It also mentions the need for ongoing maintenance and updates to the knowledge base to ensure its continued effectiveness and relevance. The paragraph concludes by reiterating the importance of these steps in creating a robust knowledge base for business decision-making.
Mindmap
Keywords
💡Knowledge Management Cycle
💡Evaluating Existing Infrastructure
💡Knowledge Capture
💡Knowledge Codification
💡Knowledge Management System (KMS) Blueprint
💡Implementation
💡Post-System Evaluation
💡Knowledge Base
💡Consumer Lending Knowledge Base
💡Regular Maintenance
Highlights
The video focuses on how to crack a given scenario from an exam perspective.
Knowledge Management Cycle involves evaluating existing infrastructure to understand what's available in the organization.
Identifying gaps in the current system is a key step before moving forward with the Knowledge Management Team development.
The Knowledge Capture phase is crucial, where information from experts is gathered to help with the existing projects.
Codifying captured knowledge into a usable format is necessary for creating an accessible knowledge management blueprint.
Verification and validation of the knowledge management system ensures the captured information aligns with organizational needs.
Implementation of the Knowledge Management System involves deploying it within the organization and monitoring challenges faced by employees.
Post-system evaluation is the final phase, identifying drawbacks and potential improvements after the model's deployment.
In the scenario provided, the goal is to develop a consumer lending knowledge base for junior bank officers to help them with loan approvals.
Understanding the domain of auto loans is the first step before developing the knowledge management model.
Knowledge capture from senior officers with ample knowledge in loan approvals is essential to create the knowledge base.
Tools like interviews are commonly used for knowledge capture to gather expert insights for the knowledge base.
Knowledge codification is performed using decision trees, tables, or rules, enabling intelligent systems to make decisions.
The final model is implemented to help loan officers decide if applicants are eligible for loans, based on the captured and codified knowledge.
The system requires regular maintenance, where new rules and knowledge need to be added to keep the model functional and up-to-date.
Transcripts
so friends this video is another
knowledge exercise and you will
understand how to
crack a scenario which is given to you
from the exam point of view
so this knowledge exercise will be based
on the
knowledge management cycle uh model
uh like we have different phases in the
knowledge management uh
system life cycle model it starts from
evaluating the existing infrastructure
where you will be understanding what is
already available
uh in the organization what is the
existing
models you have what are the various
existing softwares that are being
employed
right and then on evaluating the
existing infrastructure
and identifying the gap we will move
into
developing the knowledge management team
where you will rope in
ex a group of people or resources in
order to
complete the project once the team is
finalized
the next phase would be your knowledge
capture phase
where you will be uh like capturing the
knowledge that is you are going to
get the knowledge uh and information
from
experts those who have ample knowledge
about the already existing projects and
also about
the complete job that is done
inside the organization followed by
designing the kms blueprint where the
knowledge management system blueprint is
designed
and you will be uh codifying the
knowledge that is being captured
okay after codifying the knowledge uh
we will be verifying and validating the
knowledge management system
and the knowledge management base that
is developed if there is a gap between
the requirements and the
model that is developed we are going to
repeat this
two steps again and again until a proper
understanding of the model is achieved
and a proper
uh model is being uh
designed okay so followed by that you
you will be doing your implementation
where you will be uh like
employing the game uh knowledge
management system in the organization
and also uh on employing the man
on employing the knowledge management
system model
we will also understand what are the
various challenges that
in real time the employees will face
once everything is done
post system evaluation is also followed
as a last step
in order to identify what are the
various drawbacks in
employing the new model what are the
various problems that the
employees face when they are using this
new model
right so all these faces uh
like they will be employed in order to
deploy a knowledge management life cycle
model i mean
deploy knowledge management model in the
organization
so here scenarios uh like this would be
given okay
for uh like uh if i'm asking you to
develop a consumer lending knowledge
base
uh where a junior bank officer would
would have to be guided
in order to provide loans okay so auto
loan
model is this okay you have to provide a
management model which will help you in
developing auto loan
knowledge base and also there are
experienced senior officers who are
willing to share their knowledge so you
have
experts who are ready to who are ready
and they have good attitude in order to
share the information and share the
knowledge
that they have in the knowledge in the
loan
approval process okay so when you are
given a job like this you
when you are asked to develop a consumer
lending knowledge base
how will you do it uh what are the
various uh like
concepts that we have seen in the life
cycle model various faces that you have
seen in the life cycle model what are
the various phases that you will be
using is the question okay
so in order to answer this question you
have to first clearly understand
what is the domain that lies behind this
model
so you have to understand what are the
various uh like
steps that are being followed uh
in the auto loan section so that
the loan sanction is being done so
pakka like you will have to understand
the domain
before you're going to develop okay so
the first
step that you will be employing is your
identifying the
problem domain so once you have
identified the problem domain and you
are clear with what is the problem
statement
we will start with developing the model
so the first phase of any knowledge
management model will be understanding
the problem
and then you will start off with
knowledge capture as i have told there
are few people inside the organization
who are very
uh like a very good in their attitude
and they are very well
read they are ready to share their
knowledge
so you can also get help from these
experts so that the
knowledge from the experts could be
captured using any of the knowledge
capture mechanisms
that you are aware of okay for the
the major and the prominent tool that
will be used is your interviewing tool
where you will be interviewing the
expert and getting answers from them
in order to use that inside your model
once the knowledge is being captured
then
the knowledge codification comes in
where you're going to codify the
knowledge
into a form that could be made easily
available for intelligent systems to
take decisions okay
so you will be either using decision
trees or frames
or decision tables or set of rules so
that whichever is feasible and whichever
is okay for the organization you can
adopt that codification model
and you can convert this captured
knowledge into a set of
uh rules that would be used by the
system
finally once all this model is i mean
being the knowledge base is being
developed
you are going to implement it right you
are going to
make that knowledge base uh
like accessible by everybody in the
organization where
this person who is responsible for
a loan sanction would use that knowledge
from the knowledge base
yes and then he might use that
information
to provide loans okay to select whether
the applicant
is eligible for loan or not so once it
is implemented we will again test
and uh the the knowledge which is not
sufficient okay that is if we find any
lack of sufficiency
then we can again go back to the
knowledge capture step and you can
gather extra information
and extra knowledge from the expert and
then again
add those rules to the knowledge base
for better understanding
finally once everything is done you can
deploy this model
uh deploying is nothing but you are
going to make it uh
available and accessible for knowledge
transfer so you're going to deploy this
model so that each and every loan
officer will be using this model
to make business decisions and finally
once this model is being
uh employable uh regular maintenance of
this model has to be done
uh regular maintenance in the sense if
new
rules are being added it has to be again
uh
added into your uh that is you added
into your knowledge base
i mean it has to be codified into your
knowledge base and it has to be
maintained then and there in order to
have a proper functioning of the
uh model okay so these are the various
uh faces that
you will be employing in order to create
a knowledge base
for a loan sanction model hope this
would have been useful for you
uh we will catch up with a few more
questions like this and solutions for
the same
thank you
Voir Plus de Vidéos Connexes
How to use SharePoint Online for Knowledge Management - Microsoft 365
How to create a workflow to support your research and knowledge creation efforts (Obsidian app)
Daily Notes First and Logredis system do a Fusion-Ha.
Understanding Personal Knowledge Management (PKM): Essential Theory to Build Your Own System
Project Management Simplified: Learn The Fundamentals of PMI's Framework ✓
Logseq Simple Queries - All the basics to filter what you need
5.0 / 5 (0 votes)