Republic Polytechnic School of Information and Communications Technology Business Intellig

Description
This document addresses the content related abilities, with reference to the module.

Republic Polytechnic

Republic Polytechnic
School of Information and Communications Technology
C355 Business Intelligence

Module Curriculum

This document addresses the content related abilities, with reference to the module. Abilities of
thinking, learning, problem solving, and teamwork, communication, debating and defending are
addressed by the system wide curricular practices at the institute.

Module Description

In this module, students will learn the fundamental concepts of business intelligence, and how to
carry out a business analysis of companies’ information needs, how to extract and collate data
from multiple sources, analyse them and produce reports that meet these needs. Students will
be taught different analytical information reporting techniques and use them to produce relevant
reports

Module Objectives

Upon completing this module, students should be able to:

Understand what is Business Intelligence and the BI environment
Use the technologies supporting BI e.g. data warehouse, ETL tools and Reports
Design and build different types of BI reports
Design reports with filters, sorting,etc
Extract, Transform and Load data
Develop a simple dimensional model

Following are the content related abilities strengthened by the curricular processes of the
module:

Importance of Business Intelligence
• Recognize the need and usefulness of business intelligence to organizations
• Understand the benefits of BI
• Identify the different information needs of different levels of management within an
organization
• Explain what are the key components in a BI environment
• Understand the different technologies that support BI
• Examine and analyze how businesses uses the BI for decision making and strategic
planning
• Describe and explain the different job roles in a BI environment.

Enterprise Reporting and Data Analysis

• Recognize what are the different types of data analysis that are useful for BI reporting
• Analyze the information needs of management and how BI can assist in the decision
making process
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• Understand the importance and purpose of visual presentation of information such as
graphs, carts, tables
• Evaluate the different ways of summarizing data using BI tools
• Understand the importance of customizing reports t

Enterprise Analysis and Statistics

• Identify, analyse business requirements and propose designs of possible BI solutions to
business problems or opportunities
• Understand how to extract key information from a large volume of data
• Carry out basic statistics such as measures of central tendency
• Carry out business analysis of user requirements and use BI tools to analyse information
to meet user needs
• Describe what is a dimensional model and the purpose of the model
• Understand the purpose of using a star schema for building a dimensional model
• Construct a dimensional model
• Compare the differences between OLAP and OLTP data models
• Describe what is an OLAP cube and create and analyse reports from an OLAP cube

Module Assessment
This module is assessed as follows:
• Daily Grade – 40%
• Understanding Tests - 60 %

Republic Polytechnic

Module Syllabus

Learning Objectives:

Module Coverage
Allocated time per day
(One day-One problem PBL pedagogy)
Discussions
in Study
Cluster
Resource
gathering and
team work
Formal Lab
Experiment
• Definition of Business Intelligence
• Appreciate the importance of BI
applications to organizations
• Understand the benefits of
Business Intelligence
4 2
• High level explanation of what are
the key components in a BI
environment (eg, source systems,
ETL, Data Warehouse)
• Understand the different job roles in
a BI environment
4 2
• Introduction to BI Tool (SAS
Enterprise Guide – EG)
- definition of project, task
• Able to use SAS Enterprise Guide
to create the following statistics:
- one-way frequency
- table analysis
• Able to analyse the results of the
statistics
4 2
• Understand the importance and
purpose of visual presentation of
information
• Able to discuss the pros and cons
of various types of commonly used
4 2
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graphs and charts
• Understand the importance of
business requirement which
provide the basis for creating
queries for reporting
• Understand the concept of a query.
• Able to create simple queries
- filtering and sorting data
- creating new columns with an
expression
- grouping and summarising data
in a query

4 2
• Understand the business
requirement for providing
summarised reports
• Able to create summary table using
new computed column with a BI tool
4 2
• Understand the business
requirement for the need to create
reports from different data tables
• Understand the concepts of data
table joins (inner, left outer, right
outer) and its applications
4 2
• Understanding the importance of
customising reports for business
users
• Able to transform data into more
user-friendly format and categories
using Recoding technique
4 2
• Understand how the extract key
information from the large volume of
data
4 2
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• Understand the concept of
Measures of Central Tendency (eg,
Mean, Mode, Median, Standard
Deviation) and use them to analyse
key information about the profile of
large volume of data.
• Understand the need for
interactivity in Business Intelligence
reporting
• Able to create reports with prompts
that provide different perspective for
analysis.
4 2
• Describe the process of gathering
user’s requirements for
organizational reporting needs
• Able to analyze information in a
systematic manner
4 2
• Define what a dimensional model

• Understand the purpose of a
dimensional model

• Able to describe the concepts of
facts and dimensions in a
dimensional model

• Understand the Star schema of
Dimensional Model
and concept of data mart


4 2
• Able to construct a dimension
models using Kimball’s 4 step
4 2
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design process
• Understand the meaning of OLAP
as compared with OLTP
• Describe what is OLAP cube
• Able to create and analyse reports
from a OLAP cube
4 2
• Able to apply what they have learnt
about different analysis techniques
to analyse a small case study.
4 2

Total = 15 Problems = 90 hours

60

30

0

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