MIS761 - Enterprise Information Management

Unit details

Note: You are seeing the 2013 view of this unit information. These details may no longer be current. [Go to the current version]
Enrolment modes:


Credit point(s):1
EFTSL value:0.125
Unit chair:

J Lamp (Trimester 1), KL Ong (trimester 3)





Incompatible with:


Contact hours:

Trimester 1:

1 x 3 hour workshop per week.


Trimester 3:


Online Intensive offering:
Unit is taught intensively in blocks during trimester 3.  Students enrolled in this mode must actively participate in CloudDeakin across the dates specified below:


  • 25 November 2013
  • 26 November 2013
  • 28 November 2013
  • 29 November 2013

(All day classes)


Burwood Intensive offering:
unit is taught face to face intensively in blocks during trimester 3.  Classes are not held every week, but attendance is required across the dates specified below:


  • 25 November 2013
  • 26 November 2013
  • 28 November 2013
  • 29 November 2013

(All day classes)

Note: As this unit is offered in Online Intensive mode, it may impact on some international students' enrolment.  It is the student's responsibility to monitor their enrolment.


Online teaching methods require internet access. Please refer to the most current computer specifications.


Organisations are increasingly relying on business analytics to get value from the very data they generate in their day to day operations. In order to gain maximum effective results from this data, it has to be reorganised to reflect this new use at the enterprise level rather than at the operational level. When data is reorganised to meet this need, there is a real risk that the semantics of the data will be compromised and that data integrity can be violated. Hence, students will learn how data can be captured and reorganised properly without causing such issues. Specifically, this unit introduces students to a number of topics in data management, including relational database management, data warehousing and ETL, as well as big data management and analytics. At the end of this unit, students will understand broad issues concerning data management, gain basic skills in manipulating data in different environments, and will have the adequate knowledge to progress on to the advanced units in the course.

This unit will enable students to understand:
1.    Current information management approaches;
2.    The requirements imposed by the move to Big Data;
3.    Analytics techniques used with Big Data; and
4.    The potential and limitations of specific analytics applications


Assignment 1 (2000 words, semantic issues) 33.3%*, assignment 2 (2000 words, ETL processing) 33.3%*, assignment 3 (2000 words, Enterprise Information Management in the organisation) 33.3%*

* Assessment includes an individual reflection worth half the marks allocated.

Unit Fee Information

Student Contribution Rate*Student Contribution Rate**Fee rate - Domestic Students Fee rate - International students

* Rate for all CSP students, except for those who commenced Education and Nursing units pre 2010
** Rate for CSP students who commenced Education and Nursing units pre 2010
Please note: Unit fees listed do not apply to Deakin Prime students.