TyBSc.CS
Wsn (Wireless Sensor Network)
Unit 5 Chapter 1
Knowledge Management Metrics
It measures how effectively an organization captures, sharing, and uses
knowledge to achieve goals, focusing on usage
(views,downloads),enegagement(contribution,feedback,rating),efficiency(time
to find info ,issues ,resolution),Quality(accuracy, relevance),and business
impact(cost saving ,innovation ,employee retention/competency).
These metrics go beyond simple count to show if knowledge Management
System supports strategic objective, improves user experiences, and reduce
operational friction, using data analysis to drive smarter decision about content
and processes.
Knowledge management is the process of creating, storing, sharing, and
applying knowledge within an organization to improve performance and
decision-making.
Example: A college storing best teaching practices, question banks, and
research papers in a shared portal
Why They Matter in BI
● Data-driven Decision-Knowledge Management matric provide
insights into users’ needs, guiding content strategy and
optimization , notes Fluid Topic and Smart Tribune
● Prove value: They help demonstrate the ROI of knowledge
Management program by linking activities to tangible business
outcomes like faster problem- solving or reduced cost
● Identify Gaps: Metrics reveal what knowledge is missing ,hard to
find ,or outdated ,points out strait and App fluency priority Matrix
Why knowledge management metrics are needed
Knowledge is intangible, so we need metrics to:
1
, ● Measures effectiveness
● Justify investments
● Improve Knowledge process
Key Points
● Access and usage Metrics:- How often and by whom knowledge is
accessed
Example: Page views, unique visitor, frequency of use, search
queries, download, devices types.
● Contribution and engagement Metrics: - Measure participation in
creating and sharing knowledge.
Example: Number of contributions, user feedback/ratings,
collaboration frequency, community participation rates.
● Quality and assurance metrics:- ensures content is reliable and
useful
Example: - user rating, accuracy assessment, content timeliness,
resolution rates
● Efficiency and productivity Metrics: - Shows time and efforts saved
through knowledge.
Example: - Time to find information, issues resolution time, reduced
search time, reduced support calls
● Business impact and cost metrics: Links Knowledge Management
to financial and strategic goal
Example: Cost saving, reducing employee on boarding time,
increased innovation.
(New Ideas generated) alignment with strategic objective and
profitability
2
Wsn (Wireless Sensor Network)
Unit 5 Chapter 1
Knowledge Management Metrics
It measures how effectively an organization captures, sharing, and uses
knowledge to achieve goals, focusing on usage
(views,downloads),enegagement(contribution,feedback,rating),efficiency(time
to find info ,issues ,resolution),Quality(accuracy, relevance),and business
impact(cost saving ,innovation ,employee retention/competency).
These metrics go beyond simple count to show if knowledge Management
System supports strategic objective, improves user experiences, and reduce
operational friction, using data analysis to drive smarter decision about content
and processes.
Knowledge management is the process of creating, storing, sharing, and
applying knowledge within an organization to improve performance and
decision-making.
Example: A college storing best teaching practices, question banks, and
research papers in a shared portal
Why They Matter in BI
● Data-driven Decision-Knowledge Management matric provide
insights into users’ needs, guiding content strategy and
optimization , notes Fluid Topic and Smart Tribune
● Prove value: They help demonstrate the ROI of knowledge
Management program by linking activities to tangible business
outcomes like faster problem- solving or reduced cost
● Identify Gaps: Metrics reveal what knowledge is missing ,hard to
find ,or outdated ,points out strait and App fluency priority Matrix
Why knowledge management metrics are needed
Knowledge is intangible, so we need metrics to:
1
, ● Measures effectiveness
● Justify investments
● Improve Knowledge process
Key Points
● Access and usage Metrics:- How often and by whom knowledge is
accessed
Example: Page views, unique visitor, frequency of use, search
queries, download, devices types.
● Contribution and engagement Metrics: - Measure participation in
creating and sharing knowledge.
Example: Number of contributions, user feedback/ratings,
collaboration frequency, community participation rates.
● Quality and assurance metrics:- ensures content is reliable and
useful
Example: - user rating, accuracy assessment, content timeliness,
resolution rates
● Efficiency and productivity Metrics: - Shows time and efforts saved
through knowledge.
Example: - Time to find information, issues resolution time, reduced
search time, reduced support calls
● Business impact and cost metrics: Links Knowledge Management
to financial and strategic goal
Example: Cost saving, reducing employee on boarding time,
increased innovation.
(New Ideas generated) alignment with strategic objective and
profitability
2
