The document discusses knowledge management (KM) and why it is important for the National Institute of Statistics of Rwanda (NISR). It defines KM as the systematic processes by which an organization creates, captures, shares, and leverages the knowledge needed to succeed. There are two main reasons why KM is important for NISR: 1) Statistics are a key knowledge product that support evidence-based policymaking, and KM can strengthen collaboration across the national statistical system. 2) KM can help NISR leverage the wisdom of its staff, prevent duplicating work, improve efficiency, and foster organizational learning to enhance performance. The document emphasizes that KM is primarily about people and culture, as well as enabling

1. What is Knowledge Management
&
Why should we care?
Rajiv Ranjan, Advisor, The National Institute of Statistics of Rwanda (NISR) / UNDP

2. Thoughts.
1. The most important asset NISR possesses is
the knowledge and ability of its staff.
2. The productivity of NISR depends on how
effectively staff share their competence with
each other.

3. What is Knowledge
Management?

4. What is Knowledge
Management?
Can be answered better, by breaking the
question into two parts

5. What is Knowledge
Management? 1. What is
Knowledge?
Can be answered better, by breaking the
question into two parts

6. What is Knowledge
Management? 1. What is
Knowledge?
2. What is
Knowledge
Management?
Can be answered better, by breaking the
question into two parts

7. What is Knowledge
Management? 1. What is
Knowledge?
2. What is
Knowledge
Management?
Can be answered better, by breaking the
question into two parts

8. Knowledge is “Information
Combined with Experience,
Context, interpretation,
and reflection.”
…
1. What is
Knowledge?
Defining Knowledge

9. 1. What is
Knowledge?
Data Becoming Knowledge
Data - Facts and figures which
relay something specific, but which
are not organised in any way
Information - is data that has been
processed to provide further
meaning
Knowledge - is information that
has been analyzed to provide
meaning or value

10. 1. What is
Knowledge?
Explicit & Tacit Knowledge
Explicit knowledge can be
captured, written down and
presented in documents and
databases.
Tacit knowledge is the knowledge
in our heads. It is much less
concrete and more difficult to
document and measure, however,
it is more valuable because it
provides context. Tacit knowledge
requires personal contact and trust
to share effectively.
Explicit knowledge
Tacit knowledge

11. Knowledge Management
(KM) is the systematic
processes by which
knowledge needed for an
organization to succeed is
created, captured, shared and
leveraged.
2. What is
Knowledge
Management?
Defining Knowledge Mgmt
Knowledge
identification &
Capture
Knowledge
storage
Knowledge
sharing
Knowledge
application & use
Knowledge
creation

12. The objective is to get the
right knowledge to the right
people at the right time.
Connecting those who know
with those who need to know
2. What is
Knowledge
Management?
A Key KM Objective

13. People: KM is first and foremost a
people issue. Getting an organisation’s
culture (including values and
behaviours) right for KM is typically the
most important but difficult challenge.
Processes: In order to improve
knowledge flows, organisations need
to make changes to the way their
internal processes are structured and
sometimes even the organisational
structure itself.
Technology: Technology (Knownet,
Intego, Email, etc.) is an essential
enabler, but it must foremost serve the
organisation's people and processes.
2. What is
Knowledge
Management?
Three Pillars of KM
People
Processes Technology

14. Why should we
care about KM at
NISR?

15. Why should we
care about KM at
NISR?
There are two aspects to think about.

16. Why should we
care about KM at
NISR?
1. Statistics as
knowledge products
for evidence-based
policy and decision
making
There are two aspects to think about.

17. Why should we
care about KM at
NISR?
1. Statistics as
knowledge products
for evidence-based
policy and decision
making
2. Organizational
Knowledge
Management
There are two aspects to think about.

18. Why should we
care about KM at
NISR?
1. Statistics as
knowledge products
for evidence-based
policy and decision
making
2. Organizational
Knowledge
Management
There are two aspects to think about.

19. 1. Statistics as
knowledge products
for evidence-based
policy and decision
making
KM in National Statistical System
• Statistics are a key knowledge
products (indicators for
performance measures) for
policy and decision makers
• As knowledge sharing increases
among the members of NSS the
network becomes stronger and
more reliable
• NISR could be an early centre of
KM revolution in government,
leading coordinated and
collaborative functioning
NISR
NISR coordinating the NSS

20. 2. Organizational
Knowledge
Management
Some good reasons for KM in NISR
• We spend 20-30% of our time
searching for information
• Beat turnover of personnel/consultants
• Leverage wisdom of the entire
organization
• Prevent re-inventing the wheel
• Make NISR a learning organization –
create, acquire, transfer and retain
knowledge
• Improve efficiency and enhance
organizational performance while
reducing costs
• Create and foster ‘Communities of
Practice’Aimed at organizational transformation

21. 2. Organizational
Knowledge
Management
What behaviors are needed?
• Recognition that ‘Know-how’ spans
wider than just one department or
section.
• The habit of stopping to think about
what we have achieved, and how we
achieved it, in order to learn.
• Openness to the ideas of others.
• Willingness to look for help.
• The generosity to offer help when it is
requested.
BEHAVIOURINTENT

22. From “ Knowledge is Power”
to “Knowledge Shared is Power.”
The journey that we need to take: Together we stand!!!

23. Thank you!
@rajiv_r_in