Data / Marketing Analytics for Sustainability S1 2024
General
- Undergraduate; 3rd year
- 24 learners; teams of 3
- 105 hours per learner
- Dates set by experience
- Educators assign learners to projects
Preferred companies
- 1/1 project matches
- Anywhere
- Academic experience
- Any company type
- Any
Categories
Skills
Project timeline
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March 3, 2024Experience start
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March 10, 2024Project Scope meeting
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May 12, 2024Project Activities End
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May 17, 2024Reflective Journal submission
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May 23, 2024Final Report
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May 23, 2024Final Presentation
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May 24, 2024Experience end
Timeline
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March 3, 2024Experience start
-
March 10, 2024Project Scope meeting
Meeting with learners and employers before this date
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May 12, 2024Project Activities End
Project activities end by this date so students have time to write their journal and final report.
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May 17, 2024Reflective Journal submission
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May 23, 2024Final Report
NB. could be adjusted according to presentation time/date.
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May 23, 2024Final Presentation
NB. Exact date and time for presentation to be decided by timetabling
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May 24, 2024Experience end
Overview
- Details
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Below are some possible knowledge and skills of our learners:
- Data and information management
- Data analytics, data visualisation
- Data science, machine learning
- Business requirements analysis
- Marketing analytics, marketing research, digital marketing
- Software: MS Excel, MS Azure, Power BI, Python, SPSS...
- Learner skills
- Critical thinking, Teamwork, Work autonomously, Information literacy, Communication, Sustainability awareness
- Deliverables
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Deliverables are negotiable and will seek to align the needs of the learners and the organization.
Some final project deliverables might include:
- A 10-15 minute presentation on key findings and recommendations
- A detailed report including their research, analysis, insights and recommendations
Project Examples
Individual learners or teams of 3-5 learners will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.
Project activities that learners can complete may include, but are not limited to:
- Use data analytics / science to help businesses and organisations reduce carbon footprints, or achieve their sustainability goals
- Use data analytics / science to rate businesses' sustainability performance, supply chain transparency, etc
- Analyse data to help businesses improve their sustainability rating
- Use data analytics / marketing research to help sustainable businesses or organisations enhance their visibility
- Create evidence-based recommendations or best practices for sustainability
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Be available for a quick phone/virtual call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the experience.
Provide a dedicated contact person who is available for weekly/bi-weekly drop-ins to address learners’ questions as well as periodic messages over the duration of the project.
How is your project relevant to the experience?