Knowledge management (KM) deals with sharing lessons learned through databases, information management (IM) focuses on library services, and data management handles automation. KM involves validated data given meaning through experience, while information involves context and understanding. Intelligence applies knowledge through learning. Organizations approach these differently based on internal business units and external industry factors. Data quality, business intelligence, information security, and intellectual property are additional concerns for organizations.

1. Knowledge management
and information management
Maria Corpuz, MSCS, PhD (Cand.)

2. Outline
? Defining knowledge management (KM) and
information management (IM).
? What is the difference between them?
? KM, IM and DQ: where do they fit?
? Organizational approaches to KM, IM and DQ
? Other concerns:
? business intelligence
? information security
? intellectual property

3. Management Paradigms
? Electronic data processing – data
automation
? Information management – library
services
? Knowledge management – database
of lessons learned
? Business intelligence – corporate
reporting

4. Data Management
? string of elementary symbols, such
as digits or letters
? Reasoning, calculation, discussion
? No apparent useful meaning
? curiosity

5. Information Management
? the connotation of evaluated,
validated or useful data
? communication or reception of
knowledge or intelligence
? data made meaningful by being put
into a context
? Understanding

6. Knowledge Management
? a higher degree of validity than
information" and "has the characteristic of
information shared and agreed upon”
? the condition of apprehending truth or
fact through reasoning
? data made meaningful through a set of
beliefs about the causal relationships,
gained through either inference or
experience
? Decision and action

7. Intelligence
? form of information but it is also "a
measure of reasoning capacity
? the ability to understand and to apply
knowledge
? data made meaningful through learning
founded on post action experience
? active learning (include post action
learning)

8. Differentiation Perspectives
Category Definition 1 Definition 2 Characteristics Outcome
Data string of elementary Reasoning, No apparent useful curiosity
symbols, such as calculation, meaning
digits or letters discussion
Information the connotation of communication data made meaningful Understanding
evaluated, validated or reception of by being put into a
or useful data knowledge or context
intelligence
Knowledge a higher degree of the condition of data made meaningful Decision and
validity than apprehending through a set of action
information" and "has truth or fact beliefs about the
the characteristic of through causal relationships,
information shared reasoning gained through either
and agreed upon inference or
experience
Intelligence form of information the ability to data made meaningful active learning
but it is also "a understand through learning (include post
measure of reasoning and to apply founded on post action action learning)
capacity knowledge experience

9. Organisational Fit
Internal External
? Industry Sector
Corporate
Information Sharing
? Corporate Executive Management Business
Intelligence
? Business units Knowledge
Management
? Information Management Information
Management
? ICT Operations Data
Management

10. Data Quality
Internal External
? Industry Sector
Corporate
Information Sharing
? Corporate Executive Management Business DQ
Intelligence
? Business units Knowledge DQ
Management
? Information Management Information DQ
Management
? ICT Operations Data DQ
Management

11. Other Concerns
? business intelligence
? Corporate investment portfolios
? Mandatory disclosures (banks, internet service
providers, telecommunications)
? information security
? Classifying information
? Information related to national security
? Legislative requirements
? intellectual property
? Corporate intellectual property

12. References
? Corpuz, M. (2011), “The Enterprise Information Security Policy as a Strategic
Business Policy within the Corporate Strategic Plan”, The World Multi-Conference on
Systems, Cybernetics and Informatics Proceedings. Florida, USA.
? Meadow, C. T., Boyce, B.R. and Kraft, D.H.(2000) “Text information retrieval
systems”, 2nd ed. San Diego, CA: Academic Press.
? Mitchell, K D. (2000) "Knowledge management: the next big thing." Public Manager,
29 (2), 57-60.
? Wiig, K.M. (1999) "Introducing knowledge management into the entreprise", in:
Knowledge management handbook, edited by J. Liebowitz. pp.3.1-3.41. NY: CRC
Press.

13. Questions

14. Thank you