Business Analytics Consultancy
Timeline
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September 18, 2018Experience start
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September 26, 2018Initial Meeting
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October 17, 2018Project Charter
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December 12, 2018Final Presentation
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December 12, 2018Experience end
Timeline
-
September 18, 2018Experience start
-
September 26, 2018Initial Meeting
A face-to-face meeting for the student team to understand the decision context and the available data
-
October 17, 2018Project Charter
A document outlining the agreed project scope and proposed analytics methods
-
December 12, 2018Final Presentation
An oral presentation sharing the analytics results
-
December 12, 2018Experience end
Experience scope
Categories
Skills
data wrangling storytelling and data visualization client consulting market researchBusiness students will work in groups, applying their technical knowledge and business acumen to an authentic business analytics project of your choice.
Learners
Final deliverables for each student team include:
- A project charter outlining the business context and proposed analytics methods to the available data.
- A final presentation sharing the analytics results.
- A technical document explaining the details of the analytics results.
Project timeline
-
September 18, 2018Experience start
-
September 26, 2018Initial Meeting
-
October 17, 2018Project Charter
-
December 12, 2018Final Presentation
-
December 12, 2018Experience end
Timeline
-
September 18, 2018Experience start
-
September 26, 2018Initial Meeting
A face-to-face meeting for the student team to understand the decision context and the available data
-
October 17, 2018Project Charter
A document outlining the agreed project scope and proposed analytics methods
-
December 12, 2018Final Presentation
An oral presentation sharing the analytics results
-
December 12, 2018Experience end
Project Examples
Requirements
Starting this September, 4th-year business students working in teams of 4-5 will spend 400+ hours per group working on an analytics project of your choosing over 13 weeks.
Based on an internal data set from your organization (e.g., CRM, web or transaction data), the teams will work to understand your decision context, visualize the data through creating new metrics and/or merging some public external data, and apply analytics methods to generate the most relevant managerial insights.
Past projects include, but are not limited to:
- Identifying patterns in railcar maintenance records, which are of unstructured text.
- Building profiles of different donor segments based on their donation probability.
- Predicting retail sales if a new outlet is added to a chain.
- Testing the potential relation between eCOmmerce sales and weather.
See more project examples here: http://beedie.sfu.ca/badm/capprojects
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
September 18, 2018Experience start
-
September 26, 2018Initial Meeting
-
October 17, 2018Project Charter
-
December 12, 2018Final Presentation
-
December 12, 2018Experience end
Timeline
-
September 18, 2018Experience start
-
September 26, 2018Initial Meeting
A face-to-face meeting for the student team to understand the decision context and the available data
-
October 17, 2018Project Charter
A document outlining the agreed project scope and proposed analytics methods
-
December 12, 2018Final Presentation
An oral presentation sharing the analytics results
-
December 12, 2018Experience end