School: Business and Law

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

Your unit may be subject to government or third party COVID-19 vaccination requirements. Please consider this before enrolling in this unit, and speak with the unit coordinator if this raises any concerns.

  • Unit Title

    Marketing Analytics
  • Unit Code

    MKT3820
  • Year

    2022
  • Enrolment Period

    1
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Dr Saalem SADEQUE

Description

This unit introduces students to a variety of analytical tools and software products currently used to manage and measure marketing data. The emphasis is not on formulae, but to identify and obtain sources of marketing data (both offline and online), and then investigate that data for marketing practices such as determining market segmentation, targeting and positioning products and services, new product development, sales forecasting and data visualisation and storytelling. The unit also covers the concepts, methods and applications of decision models around the collection and use of data, as well as emerging fields of marketing analytics such as big data and new research techniques. Students will learn how to think as marketers by asking questions of their data, setting their own direction for the analysis and shaping about how a business could use results to improve overall performance.

Prerequisite Rule

Students must have passed either: SBL1300 OR MKT1600 OR SPM2610 before enrolling into this unit.

Learning Outcomes

On completion of this unit students should be able to:

  1. Appraise the use of marketing analytics in business practices.
  2. Identify business opportunities, innovations and/or trends from marketing data analyses.
  3. Analyse marketing datasets using a variety of tools and techniques.
  4. Communicate marketing insights through data visualisation and storytelling to both specialist and non-specialist audiences to guide business decisions.
  5. Apply ethical and privacy principles when performing marketing analytics.

Unit Content

  1. Introduction to data analytics.
  2. Data management.
  3. Digital marketing analytics.
  4. Correlation and Regression analysis.
  5. Market basket analysis.
  6. Customer life-time value (CLV).
  7. Text mining.
  8. Data visualisation and storytelling.
  9. Forecasts and trend analysis.
  10. Cluster analysis.
  11. Social network analytics.
  12. Ethical issues and privacy considerations in marketing analytics.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECU's LMS

JoondalupMount LawleySouth West (Bunbury)
Semester 113 x 2 hour lectureNot OfferedNot Offered
Semester 113 x 1 hour tutorialNot OfferedNot Offered
Semester 213 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 1 hour tutorialNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences via ECU’s LMS as well as additional ECU learning technologies

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ON CAMPUS
TypeDescriptionValue
ReportData analysis and written report40%
ReportText mining report20%
PresentationData visualisation and storytelling40%
ONLINE
TypeDescriptionValue
ReportData analysis and written report40%
ReportText mining report20%
PresentationData visualisation and storytelling40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

MKT3820|2|1

School: Business and Law

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

Your unit may be subject to government or third party COVID-19 vaccination requirements. Please consider this before enrolling in this unit, and speak with the unit coordinator if this raises any concerns.

  • Unit Title

    Marketing Analytics
  • Unit Code

    MKT3820
  • Year

    2022
  • Enrolment Period

    2
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Dr Saalem SADEQUE

Description

This unit introduces students to a variety of analytical tools and software products currently used to manage and measure marketing data. The emphasis is not on formulae, but to identify and obtain sources of marketing data (both offline and online), and then investigate that data for marketing practices such as determining market segmentation, targeting and positioning products and services, new product development, sales forecasting and data visualisation and storytelling. The unit also covers the concepts, methods and applications of decision models around the collection and use of data, as well as emerging fields of marketing analytics such as big data and new research techniques. Students will learn how to think as marketers by asking questions of their data, setting their own direction for the analysis and shaping about how a business could use results to improve overall performance.

Prerequisite Rule

Students must have passed either: SBL1300 OR MKT1600 OR SPM2610 before enrolling into this unit.

Learning Outcomes

On completion of this unit students should be able to:

  1. Appraise the use of marketing analytics in business practices.
  2. Identify business opportunities, innovations and/or trends from marketing data analyses.
  3. Analyse marketing datasets using a variety of tools and techniques.
  4. Communicate marketing insights through data visualisation and storytelling to both specialist and non-specialist audiences to guide business decisions.
  5. Apply ethical and privacy principles when performing marketing analytics.

Unit Content

  1. Introduction to data analytics.
  2. Data management.
  3. Digital marketing analytics.
  4. Correlation and Regression analysis.
  5. Market basket analysis.
  6. Customer life-time value (CLV).
  7. Text mining.
  8. Data visualisation and storytelling.
  9. Forecasts and trend analysis.
  10. Cluster analysis.
  11. Social network analytics.
  12. Ethical issues and privacy considerations in marketing analytics.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECU's LMS

JoondalupMount LawleySouth West (Bunbury)
Semester 113 x 2 hour lectureNot OfferedNot Offered
Semester 113 x 1 hour tutorialNot OfferedNot Offered
Semester 213 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 1 hour tutorialNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences via ECU’s LMS as well as additional ECU learning technologies

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ON CAMPUS
TypeDescriptionValue
ReportData analysis and written report40%
ReportText mining report20%
PresentationData visualisation and storytelling40%
ONLINE
TypeDescriptionValue
ReportData analysis and written report40%
ReportText mining report20%
PresentationData visualisation and storytelling40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

MKT3820|2|2