UNIT-4 Knowledge management
A knowledge management system is any kind of IT system that stores and retrieves
knowledge to improve understanding, collaboration, and process alignment.
Knowledge management systems can exist within organizations or teams, but they
can also be used to center your knowledge base for your users or customers.
There are many types of knowledge management systems, but they all share some
common characteristics. These include:
● FAQ content
● Forum or community feature
● How-to articles and tutorials
● Education, academies, and training programs
● Certificates
● Case studies
● Webinars
Introduction
Knowledge management is an activity practised by enterprises all over the world.
In the process of knowledge management, these enterprises comprehensively
gather information using many methods and tools.
Then, gathered information is organized, stored, shared, and analyzed using
defined techniques.
The analysis of such information will be based on resources, documents, people
and their skills.
Properly analyzed information will then be stored as 'knowledge' of the enterprise.
This knowledge is later used for activities such as organizational decision making
and training new staff members.
There have been many approaches to knowledge management from early days.
Most of early approaches have been manual storing and analysis of information.
With the introduction of computers, most organizational knowledge and
management processes have been automated.
Therefore, information storing, retrieval and sharing have become convenient.
Nowadays, most enterprises have their own knowledge management framework in
place.
, The framework defines the knowledge gathering points, gathering techniques, tools
used, data storing tools and techniques and analyzing mechanism.
The Knowledge Management Process
The process of knowledge management is universal for any enterprise. Sometimes,
the resources used, such as tools and techniques, can be unique to the
organizational environment.
The Knowledge Management process has six basic steps assisted by different tools
and techniques. When these steps are followed sequentially, the data transforms
into knowledge.
Step 1: Collecting
This is the most important step of the knowledge management process. If you
collect the incorrect or irrelevant data, the resulting knowledge may not be the
most accurate. Therefore, the decisions made based on such knowledge could be
inaccurate as well.
There are many methods and tools used for data collection. First of all, data
collection should be a procedure in knowledge management process. These
procedures should be properly documented and followed by people involved in
data collection process.
The data collection procedure defines certain data collection points. Some points
may be the summary of certain routine reports. As an example, monthly sales
report and daily attendance reports may be two good resources for data collection.
With data collection points, the data extraction techniques and tools are also
defined. As an example, the sales report may be a paper-based report where a data
entry operator needs to feed the data manually to a database whereas, the daily
A knowledge management system is any kind of IT system that stores and retrieves
knowledge to improve understanding, collaboration, and process alignment.
Knowledge management systems can exist within organizations or teams, but they
can also be used to center your knowledge base for your users or customers.
There are many types of knowledge management systems, but they all share some
common characteristics. These include:
● FAQ content
● Forum or community feature
● How-to articles and tutorials
● Education, academies, and training programs
● Certificates
● Case studies
● Webinars
Introduction
Knowledge management is an activity practised by enterprises all over the world.
In the process of knowledge management, these enterprises comprehensively
gather information using many methods and tools.
Then, gathered information is organized, stored, shared, and analyzed using
defined techniques.
The analysis of such information will be based on resources, documents, people
and their skills.
Properly analyzed information will then be stored as 'knowledge' of the enterprise.
This knowledge is later used for activities such as organizational decision making
and training new staff members.
There have been many approaches to knowledge management from early days.
Most of early approaches have been manual storing and analysis of information.
With the introduction of computers, most organizational knowledge and
management processes have been automated.
Therefore, information storing, retrieval and sharing have become convenient.
Nowadays, most enterprises have their own knowledge management framework in
place.
, The framework defines the knowledge gathering points, gathering techniques, tools
used, data storing tools and techniques and analyzing mechanism.
The Knowledge Management Process
The process of knowledge management is universal for any enterprise. Sometimes,
the resources used, such as tools and techniques, can be unique to the
organizational environment.
The Knowledge Management process has six basic steps assisted by different tools
and techniques. When these steps are followed sequentially, the data transforms
into knowledge.
Step 1: Collecting
This is the most important step of the knowledge management process. If you
collect the incorrect or irrelevant data, the resulting knowledge may not be the
most accurate. Therefore, the decisions made based on such knowledge could be
inaccurate as well.
There are many methods and tools used for data collection. First of all, data
collection should be a procedure in knowledge management process. These
procedures should be properly documented and followed by people involved in
data collection process.
The data collection procedure defines certain data collection points. Some points
may be the summary of certain routine reports. As an example, monthly sales
report and daily attendance reports may be two good resources for data collection.
With data collection points, the data extraction techniques and tools are also
defined. As an example, the sales report may be a paper-based report where a data
entry operator needs to feed the data manually to a database whereas, the daily
