ENTERPRISE BUSINESS INTELLIGENCE

BUS5EBI

2020

Credit points: 15

Subject outline

Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analysing data, and providing access to decision-making information to business managers in a range of business areas like accounting, finance, human resources, sales and marketing. Business analytics and decision support systems, as important components related to BI are discussed. You will be introduced to intelligent data mining technologies and how they are used for finding useful information in enterprise information systems as well as analysis of patterns in data stored in databases. An emphasis is placed on business applications of data mining in areas like retail, banking and finance. The ethics in decision making and support is also discussed. The contemporary business intelligence tool will be used in the labs to provide hands-on experience to the students.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorMei-Tai Chu

Available to Study Abroad StudentsNo

Subject year levelYear Level 5 - Masters

Exchange StudentsNo

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisites BUS5BIM and BUS5BID

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsBusiness Intelligence, Analytics, and Data Science: A Managerial Perspective (4th Edition)PrescribedRamesh Sharda, Dursun Delen, Efraim Turban, 2018PEARSON EDUCATION INC.
ReadingsHyper: Changing the way you think about, plan, and execute business intelligence for real results, real fast!RecommendedGregory P Steffine, 2015Sanderson Press, LLC

Graduate capabilities & intended learning outcomes

01. Effectively analyse and explain technical elements to a non-technical audience

Activities:
Lectures, Labs and Assessments
Related graduate capabilities and elements:
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

02. Analyse ICT problem solving and integrate information systems theory with academic and professional practice

Activities:
Lectures, Labs and Assessments
Related graduate capabilities and elements:
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

03. Evaluate and manage data to produce business intelligence insights

Activities:
Lectures, Labs, and Assessments
Related graduate capabilities and elements:
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

04. Identify and evaluate the ethical dimensions of ICT project management

Activities:
Lectures, Labs and Assessments
Related graduate capabilities and elements:
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving)
Personal and Professional Skills (Teamwork including leadership and working in groups,Ethical behaviour)
Personal and Professional Skills (Teamwork including leadership and working in groups,Ethical behaviour)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

Subject options

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Start date between: and    Key dates

Melbourne, 2020, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMei-Tai Chu

Class requirements

Lecture Week: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Computer Laboratory Week: 11 - 22
One 1.0 hours computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Class and Lab assessment (equivalent to 1,000-words)individual assessment20 01, 02, 03, 04
One group assignment and presentation (2,500-words equivalent per student)group and individual assessment40 01, 02, 03, 04
One final test (1,800-words equivalent per student)individual assessment, online test at lab40 01, 02, 03, 04

Melbourne, 2020, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMei-Tai Chu

Class requirements

Computer Laboratory Week: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

Lecture Week: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Class and Lab assessment (equivalent to 1,000-words)individual assessment20 01, 02, 03, 04
One group assignment and presentation (2,500-words equivalent per student)group and individual assessment40 01, 02, 03, 04
One final test (1,800-words equivalent per student)individual assessment, online test at lab40 01, 02, 03, 04