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.

School: La Trobe Business School (Pre 2022)

Credit points: 15

Subject Co-ordinator: Mei-Tai Chu

Available to Study Abroad/Exchange Students: No

Subject year level: Year Level 5 - Masters

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: N/A

Co-requisites: BUS5BID AND BUS5BIM

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

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

Resource Type: Book

Resource Requirement: Recommended

Author: Gregory P Steffine

Year: 2015

Edition/Volume: N/A

Publisher: Sanderson Press, LLC

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

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

Resource Type: Book

Resource Requirement: Prescribed

Author: Ramesh Sharda, Dursun Delen, Efraim Turban

Year: 2018

Edition/Volume: 4th Edition

Publisher: PEARSON EDUCATION INC.

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

DISCIPLINE KNOWLEDGE AND SKILLS
INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving
PERSONAL AND PROFESSIONAL - Ethical and Social Responsibility
PERSONAL AND PROFESSIONAL - Leadership and Teamwork

Intended Learning Outcomes

01. Effectively analyse and explain technical elements to a non-technical audience
02. Analyse ICT problem solving and integrate information systems theory with academic and professional practice
03. Evaluate and manage data to produce business intelligence insights
04. Identify and evaluate the ethical dimensions of ICT project management

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Mei-Tai Chu

Class requirements

Computer LaboratoryWeek: 11 - 22
One 1.00 hour 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 hours 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/AN/AN/ANo20SILO1, SILO2, SILO3, SILO4

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

N/AN/AN/ANo40SILO1, SILO2, SILO3, SILO4

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

N/AN/AN/ANo40SILO1, SILO2, SILO3, SILO4

Melbourne (Bundoora), 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Mei-Tai Chu

Class requirements

Computer LaboratoryWeek: 32 - 43
One 1.00 hour 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 hours 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/AN/AN/ANo20SILO1, SILO2, SILO3, SILO4

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

N/AN/AN/ANo40SILO1, SILO2, SILO3, SILO4

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

N/AN/AN/ANo40SILO1, SILO2, SILO3, SILO4