DIGIB201-23VB (NVT)

Creating Value with Social Media Analytics

15 Points

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The University of Waikato
Academic Divisions
Division of Management
School of Management and Marketing

Staff

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Convenor(s)

Dannie Jefferies

Dannie Jefferies
9241
MSB.2.32B
See Moodle
dannie.jefferies@waikato.ac.nz

Lecturer(s)

Administrator(s)

: tarryn.nel@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: em.pooley@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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What this paper is about

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The paper offers concepts and techniques that businesses need to extract valuable hidden business insights from a vast amount of social media data that can ultimately lead to good business decisions.
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How this paper will be taught

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This paper will be taught via weekly real-time lectures and practical computer lab sessions giving hands-on analytics experience for students.
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Required Readings

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Creating Value With Social Media Analytics: Managing, Aligning, and Mining Social Media Text, Networks, Actions, Location, Apps, Hyperlinks, Multimedia, & Search Engines Data by Gohar F. Khan, 2018, ISBN: 1977543979.
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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Analyse business situations and propose an effective social media strategy for an organisation across such disparate areas as IT, customer service, sales, and communications
    Linked to the following assessments:
  • Develop analytical and critical thinking skills to evaluate social media and analytics related issues faced in business and professional careers
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  • Have an in-depth understanding of social media and analytics technologies and platforms
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  • Possess a well-grounded understanding of different types of social media data including text, actions, apps, networks, hyperlinks, search engines, and geoloc
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  • Understand social media analytics business alignment and develop analytical and critical thinking of social media security, ethics, and privacy issues
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  • Understand the role of social media data in business decision making
    Linked to the following assessments:
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Assessments

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How you will be assessed

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Details and marking rubrics for assessments are available on Moodle.
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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Practical 1: Social Media Maturity Assessment
5
  • Online: Submit through Moodle
2. Practical 2: Social Media Risk Assessment
5
  • Online: Submit through Moodle
3. Practical 3: Network Analytics - Gephi
5
  • Online: Submit through Moodle
4. Practical 4: Text Analytics - Netalytics
5
  • Online: Submit through Moodle
5. Practical 5: Think with Google Tools - Trends
5
  • Online: Submit through Moodle
6. Practical 6: Location mapping - Esri
5
  • Online: Submit through Moodle
7. Practical 7: Website Analytics Google Analytics
5
  • Online: Submit through Moodle
8. Practical 8: Multimedia Analytics - Ai Vision
5
  • Online: Submit through Moodle
9. Network Analysis (Individual)
8 Oct 2023
11:30 PM
30
  • Online: Submit through Moodle
10. Group Project
12 Nov 2023
11:30 PM
30
  • Online: Submit through Moodle
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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