THE STRATEGIC ROLES OF IT in EXPEDITING THE IMPLEMENTATION of KNOWLEDGE MANAGEMENT SYSTEM and...
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Transcript of THE STRATEGIC ROLES OF IT in EXPEDITING THE IMPLEMENTATION of KNOWLEDGE MANAGEMENT SYSTEM and...
THE STRATEGIC ROLES OF IT in EXPEDITING THE IMPLEMENTATION of KNOWLEDGE MANAGEMENT SYSTEM and BUSINESS INTELLIGENCE Semarang, 18 June 2009
Universitas Subang
Conference Material
The Classification
According to Ackoff*, the content of the human mind can be classified according to 5 categories:
1. Data: symbols 2. Information: data that are processed to be useful;
provides answers to "who", "what", "where", and "when" questions
3. Knowledge: application of data and information; answers "how" questions
4. Understanding: appreciation of "why" 5. Wisdom: evaluated understanding.
3
The Philosophy
4
understanding
connectedness
data
information
knowledge
wisdom
understanding relations
understanding patterns
understanding principles
The Example
1. Data represents a fact or statement of event without relation to other things (e.g. It is raining.)
2. Information embodies the understanding of a relationship, possibly cause and effect (e.g. The temperature dropped 15 degrees and then it started raining).
3. Knowledge represents a pattern that connects and provides predictability as to what will happen next (e.g. If the humidity is high and the temperature drops the atmosphere is unlikely to be able to hold the moisture so it rains).
4. Wisdom embodies an understanding of fundamental principles embodied within the knowledge. Wisdom is essentially systemic (e.g. To understand rain encompasses an understanding of all the interactions that happen between raining, evaporation, air currents, temperature gradients, changes, and raining).
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The Intelligent Person
7
Business Facts
Data
Information
Knowledge
Wisdom
+ procedure
+ context
+ experience
+ governance
INTELLIGENT PERSON
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IT Positioning Framework
The Essence of Knowledge
The Values of Managing Knowledge
The IT Roles in Knowledge Management
10
Definitions of ““Knowledge””
n The psychological result of perception and learning and reasoning (Princeton University)
n The awareness and understanding of facts, truths or information gained in the form of experience or learning, or through introspection (Wikipedia)
n Organized or contextualised information which can be used to produce new meanings and generate new data (Christlinks)
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Definitions of ““Knowledge””
n The act or condition of knowing something with a familiarity gained through experience or association (CalvaryChapel)
n What is known by perceptual experience and reasoning (Ichnet)
n Acquired information necessary to do the job (University of Washington)
n The internalization of information, data, and experience (Earthlink)
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Definitions of ““Knowledge””
n Concept-driven conversation, such as “how things work” discussions and explanation of language (Lawrence University)
n Relationships, facts, assumptions, heuristics and models derived through the formal and informal analysis or interpretation of data (Cordis)
n Something built up from interaction with the world, and is organised and stored in each individual's mind (New Zealand Government)
13
Definitions of ““Knowledge””
n The broad range of information held by a person (GN Magazine)
n The acquaintance with facts, truths or principles as from study or investigation or the familiarity with a partaker subject, branch of learning (SeattleCenter)
n The distillation of information that has been collected, classified, organized, integrated, abstracted and value added (Centc)
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Definitions of ““Knowledge””
n The facts or principles relating to a particular subject or subject area (California Insurance Association)
n Theoretical and/or practical understanding of matters worth knowing (Curtin University of Technology)
n The broad range of information held by a person (GN Magazine)
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Definitions of ““Knowledge””
n The human capacity (both potential and actual) to take effective action in varied and uncertain situations (Mountainquest Institute)
n a) the condition of knowing something with familiarity gained through experience or association; b) the condition of being aware of something; c) the condition of apprehending truth or fact; d) the condition of having information or of being learned (AT&T)
The Knowledge Characteristics
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Tacit Knowledge - Embedded in individual experience - Highly personal - Hard to articulate
[Source: Nonaka and Takeuchi]
Explicit Knowledge - Can be articulated - Expressible in words and numbers
Technology Responsibilities
20
To help the company in:
… delivering the right knowledge to the right people at the right time …
and
… the people will get the right knowledge at the right time …
22
Definitions of Knowledge Mngt.
n Capturing, organizing, and storing knowledge and experiences of individual workers and groups within an organization and making this information available to others in the organization (Ahima Library)
n The name of a concept in which a company or organization consciously and comprehensively gathers, organizes, shares, and analyzes its knowledge in terms of resources, documents, and people skills (UK Learning Technology)
23
Definitions of Knowledge Mngt.
n A method for gathering information and making it available to others (QualisHealth)
n The way a company stores, organizes and accesses internal and external information (MIT)
n The collection, organization, analysis, and sharing of information held by workers and groups within an organization (World Wide Learning)
24
Definitions of Knowledge Mngt.
n It is the process of transforming information and intellectual assets into enduring value (University of Southern Australia)
n A system or framework for managing the organizational processes that create, store and distribute knowledge, as defined by its collective data, information and body of experience (BridgeField Group)
25
Definitions of Knowledge Mngt.
n A business process that formalizes management and leverage of a firm's intellectual assets (Business Resources)
n A multi-disciplined approach to achieving organisational objectives by making best use of knowledge (New South Wales Government)
n Is a process for optimizing the effective application of intellectual capital to achieve objectives (MountainQuest Institute)
26
Definitions of Knowledge Mngt.
n Discipline within an organisation that ensures that the intellectual capabilities of an organisation are shared, maintained and institutionalised (DreamCatcher Inc.)
n The process of creating, capturing, and using knowledge to enhance organizational performance (ASTD)
n Is the organization, creation, sharing and flow of knowledge within organizations (Wikipedia)
27
Business Values Domain
FINANCIAL CUSTOMERS
GROWTH INTERNAL
Business Value of
Information Technology
28
Value Perspective: FINANCIAL
Expand market share.
Increase revenue.
Return on investment.
Optimise asset utilisation.
Manage business risks.
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Value Perspective: CUSTOMER
Improve customer orientation and service.
Offer competitive products and services.
Service availability.
Agility in responding to changing business needs.
Cost optimisation of service delivery.
30
Value Perspective: INTERNAL
Automate and integrate the enterprise value chain.
Improve and maintain business process functionalities.
Lower process costs.
Compliance with external laws and regulations.
Transparency.
Compliance with internal policies.
Improve and maintain operational and staff productivity.
31
Value Perspective: GROWTH
Product and business innovation.
Obtain reliable and useful information for strategic decision.
Acquire and maintain skilled and motivated personnel.
33
The Seven Dimension of IT for KM
1. Transformation Dimension 2. Presentation Dimension 3. Management Dimension 4. Infrastructure Dimension 5. Repository Dimension 6. Discourse Dimension 7. Preference Dimension
34
Transformation Dimension
#1 Since information is the raw materials of knowledge, then information technology helps the people or/and organisation to transform information into valuable knowledge.
Example: MIS, Expert System, Artificial Intelligence, Report and Query Tools, What-If Simulation, etc.
35
Presentation Dimension
#2 Since most of the knowledge - especially explicit ones - can be digitised, then information technology supports the technique to represent knowledge in a very effective and efficient way.
Example: Text, Graphic, Image, Sound, Audio, Video, Virtual Reality, 3D-Hologram System, etc.
36
Management Dimension
#3 Since knowledge should be gather, organised, stored, accessed, disseminated, and distributed, then information technology can enable the best way of managing it.
Example: Electronic Document Management System, Workflow-Based Operation, Digital Archiving and Record Mechanism, etc.
37
Infrastructure Dimension
#4 Since the acquisition of knowledge takes place through the exchange of information within the web of sources, information technology provides the communities with appropriate interchange backbone.
Example: Internet, Intranet, Extranet, VPNs, Office or Regional Zoning System, etc.
38
Repository Dimension
#5 Since by nature the world of knowledge (volume) is expanding exponentially, the information technology should be able to contain them with “unlimited” dynamic memory storehouse.
Example: Datawarehouse, DataMart, Proxy System, Giant Cache Memory, etc.
39
Discourse Dimension
#6 Since knowledge is coming from the interaction between or among individuals, information technology should be able to provide them with a good number of communication means.
Example: Chatting System, Email, Mailing List, IRC, Tele Conference, Blogging, etc.
40
Preference Dimension
#7 Since the size and volume of knowledge are humongous in nature, the information technology should give the way(s) on how to select relevant and quality knowledge for the users.
Example: Portal, Wikipedia, Search Engines, Community of Interest Websites, etc.
BI Definition
42
Leveraging information assets within key business processes to achieve improved business performance
For the private sector, efforts are generally focused on increasing Profit and realizing a positive Return on Investment (ROI)
Another Definition
A Simple Definition: The applications and technologies transforming Business Data into Action
Business intelligence (BI) is a business management term refers to applications and technologies
which are used to gather, provide access to, and analyze data and information about their company operations.
Business intelligence systems can help companies gain more comprehensive knowledge of the factors affecting their business, and help companies to make better business decisions.
43
Application Examples
46
Trauma Transfer Capacity and
Capability Status The information provided below was generated on December 4, 2008 at 09:42
See Important Disclaimer Below
Utilization Sur vey
Available Temporarily Not Available Permanently Not Available
Metropolitan Region Burn Unit
Cardiac Thoracic Surgery
CT Scan M R I
Emergency Room
ENT Maxio
Surgery General Surgery
Hand Surgery
I C U Beds
Neuro Surgery
OB GYN
Surgery Orthopedic
Surgery Spine
Trauma
Arkansas Childrens Open Open Open Open Open Open Open Open Open Not
Avail Open Open
Arkansas Heart Not Avail Open Open Open Not
Avail Open Not Avail Open Not
Avail Not
Avail Not Avail Not Avail
Baptist Health Med - LR
Not Avail Open Open Open Open Open Not
Avail Open Open Open Open Open
Baptist Health Med - NLR
Not Avail Open Open Open Open Open Open Open Not
Avail Open Open Open
Conway Regional Not Avail Open Open Open Open Open Not
Avail Open Not Avail Open Open Not
Avail North Metro Med Center
Not Avail
Not Avail Open Open Not
Avail Open Not Avail Open Not
Avail Not
Avail Open Not Avail
Saline Memorial Not Avail
Not Avail
Not Avail Open Open Open Not
Avail Open Not Avail Open Open Not
Avail St. Vincent Infirmary
Not Avail Open Open Open Open Open Open Open Not
Avail Open Open Open
Next Generation Business Intelligence
47
Internet
Intranet Information Extraction Semantic Integration
Load/Refresh or ad-hoc
Text Text Text
Text Text XLS
Text Text XML
Who is leading in American Idol?
Who are the biggest players in the Linux market?
Which insurance policy customers are at risk of being hit by
a current storm?
Analysis Schema and
Entities
The next genera�on of Business Intelligence (NGBI) correlates data warehouses with text and semi-‐structured data from webservices of corporate intranets and the internet
Data Warehouse Data Marts
1. Data Warehouse 2. Masterdata 3. Information Providers 4. Information Marketplaces 5. Crawling (Internet/Intranet)
Data Source iden�fica�on
Atomic En�ty extrac�on
Schema extrac�on Data Cleansing Data Fusion
Phase One
Phase Two
1. Out-of-the box data 2. Web Services for complex, atomic and named entities
3. Frameworks 4. Infrastructures for extracting, managing and scalable storage of
named entities
5. Web Services for extracting named entities
6. Basic Components 7. Screen scraper Ad
di�onal extrac�on and data cleansing effort
Data Source iden�fica�on
Atomic En�ty extrac�on
Schema extrac�on Data Cleansing Data Fusion
Data Source iden�fica�on
Atomic En�ty extrac�on
Schema extrac�on Data Cleansing Data Fusion
Phase Two
Phase Three
Company Technology -‐> Company
Pre Process Base extrac�on Schema extrac�on Data Cleansing Data Fusion
Data Source A
Schema Mapping
Duplicate Detec�on
Data Fusion
Data Source B
iPhone 3 Gen 299.95
iPhone 3G 199.99
Apple
Apple
iPhone 3 Gen 199.99 Apple max length min In
form
a�on Integra�on
match
Pre Process Base extrac�on Schema extrac�on Data Cleansing Data Fusion
e.g., Hummer (U Potsdam)
Phase Five
b c a -‐ b -‐ a d
b c a d
b -‐ a -‐ b -‐ a -‐
b -‐ a -‐
b c a -‐ b -‐ a -‐
b c a -‐
b c a -‐ e -‐ a d
f(b,e) c a d
Integra�on of complementary tuples
Elemina�on of iden�cal tuples
Elemina�on of subsumed tuples
Conflict resolu�on
Pre Process Base extrac�on Schema extrac�on Data Cleansing Data Fusion
Phase Five
The Principles
1. Knowledge originates in people’s heads 2. Knowledge is useful to firms when it is shared
among people 3. Knowledge requires a cultural change (or
specific orientation) 4. Technology provides new ways of capturing,
sharing and retaining knowledge
55