KNOWLEDGE MANAGEMENT & BI

Mohamed Azmi Taufik&

Amal Nabilah Md Amin

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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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 decision-making by upper management. It is also called a Decision Support System (DSS).

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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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• Data Extraction Using Tools and Frameworks− Collect data (raw) from sources

• Information Through Dimensional Modeling− Analyse data, build information

• Delivering Knowledge to End-users− Showing reports on request with quality data (help decision making)

The flow of BI process and tools

KnowledgeInformation Data

sources

USERS

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Keys to Successful BI Implementation

Data “On-Boarding” Efficiency

Data Accessibility

Data Reliability

On-Time Information Delivery

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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-to-market changes or other business events.

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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.

How BI and KM are related

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Wisdom Review, Measure, Refine

Events

Experience

Operational Systems

ExperienceAction

Plans

Knowledge

Information Data Warehouses

Rules and Models

Analytical Toolsdata

Information Data Warehouses

Analytical Systems

Information

How BI and KM are related (2)

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STRATEGIC KNOWLEDGE MANAGEMENT&

BUSINESS INTELLIGENCE

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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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A strategic perspective on KM means addressing:

1) vision and direction, and 2) how to organize and manage knowledge-related

resources for competitive advantage.

A strategic perspective on KM

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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Cycle of Strategic Knowledge Management

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5 Ps of Strategic KM

People

Process

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The 4 common barriers to Strategic Knowledge Management

The “Strategic Intent” for KM / KS is not understood by thosewho must implement it…and not translated into

measurable objectives via a “Systems Thinking” approach.

Management systems are designed for

operational controland tied to budgets& not the strategic

value drivers.

Key processes, ERP systems & IT are not designed toleverage the drivers of business strategy

- they tend to be “transactional” and not “transformational”.

Personal goals,knowledge transfer, and key competency

development is not linked tostrategy implementation

& the impact of the “Change” is not fully understood.

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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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SKM & BIBusiness 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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MAHB

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EDWH

ETL Scripting – SQL

BI-CUS Datamart

GREENPLUM DW

BI-CPA Datamart

End Users

MPP Technology 6 CPU – Dual Core

16x3 Gigabytes

BI-RAS Datamart

SUN DW20 SERIES

GreenPlum DB

GreenPlum DB

GreenPlum

TM

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PP

LIC

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INF

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MA

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RC

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The outputs are crucial for the decision making processes

Enterprise Data WareHouse-BI Architecture KnowledgeInformation Data sources

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THANK YOU

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.

Example of BI Engine

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 reportsUse 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?

Business Intelligence

Flow of information into knowledge

BI empower the users

Strategic Knowledge Management Framework