ENTERPRISE BUSINESS INTELLIGENCE

BUS5EBI

2021

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/Exchange StudentsNo

Subject year levelYear Level 5 - Masters

Available as ElectiveYes

Learning ActivitiesLectures, labs and assessments

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesBUS5BID AND BUS5BIM

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Business Intelligence, Analytics, and Data Science: A Managerial Perspective

Resource TypePrescribed

Resource RequirementN/A

AuthorRamesh Sharda, Dursun Delen, Efraim Turban

Year2018

Edition/Volume4th Edition

PublisherPEARSON EDUCATION INC.

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Hyper: Changing the way you think about, plan, and execute business intelligence for real results, real fast!

Resource TypeRecommended

Resource RequirementN/A

AuthorGregory P Steffine

Year2015

Edition/VolumeN/A

PublisherSanderson Press, LLC

ISBN9780692459263

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Apply the definition, concept and framework of Enterprise Business Intelligence
02. Integrate the methodology and techniques of Enterprise Business Intelligence systems
03. Manage and measure Key Success Factors in BI System
04. Effectively use business intelligence tool (e.g. R or SAS Enterprise Minor) to analyse data as business analyst

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorMei-Tai Chu

Class requirements

Computer LaboratoryWeek: 11 - 22
One 1.00 h computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

LectureWeek: 10 - 22
One 2.00 h lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Class and Lab assessment (equivalent to 1,000-words) individual assessment

N/AAssignmentIndividualNo20 SILO1, SILO2, SILO3, SILO4

One group assignment and presentation (2,500-words equivalent per student) group and individual assessment

N/AOtherGroupNo40 SILO1, SILO2, SILO3, SILO4

One final test (1,800-words equivalent per student) individual assessment, online test at lab

N/AOther written examIndividualNo40 SILO1, SILO2, SILO3, SILO4

Melbourne (Bundoora), 2021, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorMei-Tai Chu

Class requirements

Computer LaboratoryWeek: 32 - 43
One 1.00 h computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
One 2.00 h lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Class and Lab assessment (equivalent to 1,000-words) individual assessment

N/AAssignmentIndividualNo20 SILO1, SILO2, SILO3, SILO4

One group assignment and presentation (2,500-words equivalent per student) group and individual assessment

N/AOtherGroupNo40 SILO1, SILO2, SILO3, SILO4

One final test (1,800-words equivalent per student) individual assessment, online test at lab

N/AOther written examIndividualNo40 SILO1, SILO2, SILO3, SILO4