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CIS8008 Business Intelligence

Semester 1, 2013 External Toowoomba
Units : 1
Faculty or Section : Faculty of Business and Law
School or Department : School of Information Systems
Version produced : 24 April 2014

Contents on this page

Staffing

Examiner: Michael Lane
Moderator: Mustafa Ally

Other requisites

Students are required to have access to a personal computer, e-mail capabilities and Internet access to UConnect. Current details of computer requirements can be found at http://www.usq.edu.au/current-students/support/computing/hardware.

Rationale

This course focuses on business intelligence and the dominant suite of business analytical and decision making tools which support organisations in achieving superior business performance. Business intelligence systems now play a critical role in ensuring that organisations achieve strategic goals by monitoring organisational performance and achievement of day-to-day operational goals. It is appropriate to examine business intelligence in terms of theory, design, application, implementation and utilisation challenges and opportunities in organisations.

Synopsis

This course provides students with a thorough understanding of theory, design, implementation of business intelligence systems and practical application and use of business intelligence systems tools such as a data mining tools, pivot tables and performance dashboards in an organisational context of decision making that is evidence based for enhanced business performance. The architecture, implementation, and practical application and use of business intelligence are considered in current and real life contexts.

Objectives

On successful completion of this course, students should be able to:

  1. demonstrate applied knowledge of people, markets, finances, technology and management in a global context of business intelligence practice (data warehouse design, data mining process, data visualisation and performance management) and resulting organisational change and how these apply to implementation of business intelligence in organisation systems and business processes
  2. identify and solve complex organisational problems creatively and practically through the use of business intelligence and critically reflect on how evidence based decision making and sustainable business performance management can effectively addressing real world problems
  3. comprehend and address complex ethical dilemmas that arise from evidence based decision making and business performance management
  4. demonstrate the ability to communicate effectively in a clear and concise manner in written report style for senior management with correct and appropriate acknowledgment of main ideas presented and discussed.

Topics

Description Weighting(%)
1. Decision making and business intelligence 10.00
2. Business intelligence systems components and tools 10.00
3. Data warehousing architecture 10.00
4. Data mining 30.00
5. Data visualisation 10.00
6. Business performance management 20.00
7. Business intelligence implementation/utilisation challenges and opportunities 10.00

Text and materials required to be purchased or accessed

ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (https://bookshop.usq.edu.au/bookweb/subject.cgi?year=2013&sem=01&subject1=CIS8008)

Please contact us for alternative purchase options from USQ Bookshop. (https://bookshop.usq.edu.au/contact/)

  • Summers, J & Smith, B 2010, Communication skills handbook, 3rd edn, John Wiley & Sons, Milton, Queensland.
  • Turban E, Sharda, R, Delen, D & King, D 2011, Business intelligence: a managerial approach, 2nd edn, Pearson/Prentice Hall, Upper Saddle River, New Jersey.
    (internatinal edition.)

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
  • Kimball, R & Ross, M 2002, The data warehouse toolkit: the complete guide to dimensional modeling, 2nd edn, John Wiley & Sons, New York.
    (available to view online via USQ Library - note there are some restrictions on usage, such as no printing or limited printing of e-books.)
  • Liebowitz, J 2006, Strategic intelligence: business intelligence, competitive intelligence, and knowledge management, Auerbach Publications, Boca Raton, Florida.
    (available to view online via USQ Library - note there are some restrictions on usage, such as no printing or limited printing of e-books.)
  • North, M 2012, Data mining for the masses, The Global Textbook Project.
    (available at: http://dl.dropbox.com/u/31779972/DataMiningForTheMasses.pdf.)
  • Sabherwal, R & Becerra-Fernandez, I 2011, Business intelligence: practices, technologies and management, John Wiley & Sons, Hoboken, New Jersey.
  • Torgo, L 2010, Data mining with R: learning with case studies, Chapman and Hall/CRC, Boca Raton, Florida.
  • Williams, S & Williams, N 2006, The profit impact of business intelligence, Elsevier/Morgan Kaufmann, Amsterdam, Holland.
    (available to view online via USQ Library - note there are some restrictions on usage, such as no printing or limited printing of e-books.)

Student workload requirements

Activity Hours
Assessments 40.00
Directed Study 55.00
Private Study 70.00

Assessment details

Description Marks out of Wtg (%) Due Date Notes
ASST 1 - ONLINE QUIZ 100 5 15 Mar 2013
ASST 2 - WRITTEN REPORT 100 30 19 Apr 2013
ASST 3 - ONLINE QUIZ 100 5 03 May 2013
ASST 4 - WRITTEN REPORT 100 55 24 May 2013
ASST 5 - ONLINE QUIZ 100 5 07 Jun 2013

Important assessment information

  1. Attendance requirements:
    If you are an international student in Australia, you are advised to attend all classes at your campus. For all other students, there are no attendance requirements for this course. However, it is the students' responsibility to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To satisfactorily complete an individual assessment item a student must achieve at least 50% of the marks. (Depending upon the requirements in Statement 4 below, students may not have to satisfactorily complete each assessment item to receive a passing grade in this course.)

  3. Penalties for late submission of required work:
    If students submit assignments after the due date without prior approval of the examiner, then a penalty of 5% of the total marks gained by the student for the assignment may apply for each working day late up to ten working days at which time a mark of zero may be recorded.

  4. Requirements for student to be awarded a passing grade in the course:
    To be assured of receiving a passing grade a student must achieve at least 50% of the total weighted marks available for the course.

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative assessment items in the course.

  6. Examination information:
    There is no examination in this course.

  7. Examination period when Deferred/Supplementary examinations will be held:
    Not applicable.

  8. University Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at http://policy.usq.edu.au.

Assessment notes

  1. Assignments: (i) The due date for an assignment is the date by which a student must despatch the assignment to the USQ. The onus is on the student to provide proof of the despatch date, if requested by the examiner. (ii) Students must retain a copy of each item submitted for assessment. This must be produced within 24 hours if required by the examiner. (iii) In accordance with university policy, the examiner may grant an extension of the due date of an assignment in extenuating circumstances. (iv) The examiner will normally only accept assignments which are electronically submitted through the USQ Study Desk for this course. Students who are unable to meet this submission requirement should contact the examiner of the course to negotiate alternative arrangements. (v) In the event that a due date for an assignment falls on a local public holiday in their area, such as a show holiday, the due date for the assignment will be the next day. Students are to note on the assignment cover the date of the public holiday for the examiner's convenience.

  2. Referencing in assignments: Harvard (AGPS) is the referencing system required in this course. Students should use Harvard (AGPS) style in their assignments to format details of the information sources they have cited in their work. The Harvard (AGPS) style to be used is defined by the USQ Library's referencing guide at http://www.usq.edu.au/library/referencing.

  3. Make-up work: Students who have undertaken all of the required assessments in a course but who have failed to meet some of the specified objectives of a course within the normally prescribed time may be awarded the temporary grade: IM (Incomplete - Make up). An IM grade will only be awarded when, in the opinion of the examiner, a student will be able to achieve the remaining objectives of the course after a period of non directed personal study.

  4. Deferred work: Students who, for medical, family/personal, or employment-related reasons, are unable to complete an assignment may apply to defer an assessment in a course. Such a request must be accompanied by appropriate supporting documentation. A temporary grade may be awarded: IDM (Incomplete Deferred Make-up).

Other requirements

  1. Computer, e-mail and Internet access: Students are required to have access to a personal computer, e-mail capabilities and Internet access to UConnect. Current details of computer requirements can be found at http://www.usq.edu.au/current-students/support/computing/hardware.