1) Business intelligence is a set of tools and processes that analyze raw data to provide useful information to make business decisions. It includes technologies that transform data into meaningful insights. 2) Key aspects of business intelligence include allowing organizations to get a more accurate view of business and customers, increasing visibility, and enabling analysis of customer behavior. 3) Strategic knowledge management helps identify business needs, organize information flow, implement plans, and evaluate to improve by addressing goals, competitive advantage, and organizational performance.

1. KNOWLEDGE MANAGEMENT & BI
Mohamed Azmi Taufik
&
Amal Nabilah Md Amin

2. Business Intelligence
1. Definition
2. Business Intelligence as a subset of Knowledge Management
3. Business Intelligence and Strategic Knowledge Management
Key aspects of any business
o Knowledge Management
o Business Intelligence
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3. What is Business Intelligence?
 A set of theories, methodologies, processes, architectures and
technologies that transform raw data into meaningful and useful
information for business purposes.
 Business intelligence can be defined as "a broad collection of
software platforms, applications, and technologies that aim to help
decision makers perform more effectively and efficiently" (Arnott,
Gibson and Jagielska, 2004)
 Business Intelligence (BI) is computer-based techniques used in
identifying, extracting, and analyzing internal business data.
 Business intelligence aims to support better business decisionmaking by upper management. It is also called a Decision Support
System (DSS).
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4. The importance of BI
 Allows organizations to get a more accurate and detailed
picture of what is going on in terms of business and
customers.
 Brings visibility into the organization at granular levels
 It allows organizations to review customer behavior
BI allows the users to transparently access and analyse any
type of data through applications that are designed to
support the core business processes
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5. The flow of BI process and tools
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6. Keys to Successful BI Implementation
 Data “On-Boarding” Efficiency
 Data Accessibility
 Data Reliability
 On-Time Information Delivery
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7. Business Benefits
BI infrastructure enables the organization;
 to unlock the information and see data in new ways
 to integrate data across the enterprise
 empower business users to become information self- sufficient.
 empowers knowledge worker to make faster and better decisions
Improve productivity with better decision making and faster response-tomarket changes or other business events.
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8. How BI and KM are related
Business intelligence starts with a data warehouse and query/reporting and analysis tools for
the purpose of measuring historical activity.
However over time, BI activities will expand outward to embrace other kinds of data and
business processes that currently fall within the domain of knowledge management.
Wisdom
Review, Measure, Refine
nts
Eve
Action
Operational
Systems
Plans
Experience
Rules and Models
Knowledge
ta
da
Information
Analytical Tools
Data Warehouses
Analytical Systems
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9. How BI and KM are related (2)
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10. STRATEGIC KNOWLEDGE MANAGEMENT
&
BUSINESS INTELLIGENCE
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11. STRATEGIC KNOWLEDGE MANAGEMENT
o Strategic Knowledge management helps in identifying
the needs of a firm, organizing flow of information ,
implementing the plan and evaluating the whole
exercise to find gaps and to rectify things in time.
o Strategic Knowledge management helps in achieving
the organizational goals.
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12. A strategic perspective on KM
A strategic perspective on KM means addressing:
1) vision and direction, and
2) how to organize and manage knowledge-related
resources for competitive advantage.
 Effects of strategic KM on innovation
 Effects of strategic KM on organisational performance
(1) financial performance - market performance
(profitability, growth and customer satisfaction);
(2) process performance – refer to quality and efficiency;
(3) internal performance - relates to individual capabilities
(employees’ qualification, satisfaction and creativity)
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13. Cycle of
Strategic Knowledge Management
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14. 5 Ps of Strategic KM
People
Process
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15. The 4 common barriers to
Strategic Knowledge Management
The “Strategic Intent” for KM / KS is not understood by those
who must implement it…and not translated into
measurable objectives via a “Systems Thinking” approach.
Personal goals,
knowledge transfer,
and key competency
development is not linked to
strategy implementation
& the impact of the “Change”
is not fully understood.
Management
systems are
designed for
operational control
and tied to budgets
& not the strategic
value drivers.
Key processes, ERP systems & IT are not designed to
leverage the drivers of business strategy
- they tend to be “transactional” and not “transformational”.
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16. SKM & BI
 Understand knowledge and KM technologies important to build &
implement BI system
 Parameterization of the BI system is very essential for accurate
performance. It involves :
 Identifying and modelling business knowledge
 Monitoring and modifying various data
 Understanding how to interpret result & modify further queries
 Use the results for improving business decision making on
continuous basis
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17. SKM & BI
Business Intelligence (BI) refers to skills,
processes, technologies, applications and
practices used to support decision-making.
These involve intelligent data analysis and
mapping required for decision-making.
Business Intelligence and SKM provides business / e-business with the
necessary intelligence to improve on various business aspect.
An intelligent organization is always positioned to excel and satisfy
by making better decision
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18. MAHB
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19. TM’s APPLICATIONS INFORMATIONS
SOURCES
Enterprise Data WareHouse-BI Architecture
SUN DW20 SERIES
EDWH
MPP Technology 6 CPU – Dual
Core
16x3 Gigabytes
BI-CUS Datamart
GREENPLUM DW
End
Users
GreenPlum DB
BI-CPA Datamart
ETL Scripting –
SQL
GreenPlum DB
BI-RAS Datamart
GreenPlum
The outputs are crucial for the decision making processes
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20. THANK YOU

21. The CUBE Engine
CUBE
The Analytic Workspace (AW) is used to store the multidimensional data types, e.g.
the dimensions, measures and cubes. An Oracle database schema can contain one or
more analytic workspaces in addition to owning the normal relational objects such as
the tables, indexes and materialized views.

22. Example of BI Engine

23. Business Intelligence
Business intelligence tools search data to find meaningful information; they fall into two
classifications – reporting tools and data-mining tools
Reporting tools read data from a variety of sources, process that data, and produce
formatted reports
Use simple techniques; e.g., sorting, selecting and grouping to calculate totals and
averages.
Used primarily for assessment; e.g., What has happened in the past? What is the current
situation? and how does the current situation compare to the past?
Data-mining tools process data using statistical techniques, many of which are
mathematically complex.
Data mining involves searching for patterns and relationships among data.
In most cases, data-mining tools are used to make predictions; e.g., what is the
probability that a customer will default on a loan?

24. Flow of information into knowledge

25. BI empower the users

26. Strategic Knowledge Management Framework