Data / Marketing Analytics for Sustainability S1 2024

BIPX301
Closed
Australian Catholic University
Sydney, New South Wales, Australia
Lecturer
1
Timeline
  • March 3, 2024
    Experience start
  • March 10, 2024
    Project Scope meeting
  • May 12, 2024
    Project Activities End
  • May 17, 2024
    Reflective Journal submission
  • May 23, 2024
    Final Report
  • May 23, 2024
    Final Presentation
  • May 24, 2024
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries
Categories
Marketing analytics Data visualization Data analysis Environmental sustainability
Skills
critical thinking teamwork work autonomously information literacy communication sustainability awareness
Learner goals and capabilities

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...


Learners
Undergraduate
Any level
24 learners
Project
105 hours per learner
Educators assign learners to projects
Teams of 3
Expected outcomes and deliverables

Deliverables are negotiable and will seek to align the needs of the learners and the organization. 


Some final project deliverables might include: 

  1. A 10-15 minute presentation on key findings and recommendations
  2. A detailed report including their research, analysis, insights and recommendations


Project timeline
  • March 3, 2024
    Experience start
  • March 10, 2024
    Project Scope meeting
  • May 12, 2024
    Project Activities End
  • May 17, 2024
    Reflective Journal submission
  • May 23, 2024
    Final Report
  • May 23, 2024
    Final Presentation
  • May 24, 2024
    Experience end
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




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?