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Analytics for Business Decision Making

Capstone Data Project
Closed
George Brown College
George Brown College
Toronto, Ontario, Canada
Richard Boire
Richard Boire
Professor
(6)
5
Timeline
  • May 18, 2020
    Experience start
  • August 22, 2020
    Experience end
Experience
4/4 project matches
Dates set by experience
Preferred companies
Canada
Any
Any industries
Categories
Data analysis
Skills
data visualization exploratory data analysis data analytics data analysis
Learner goals and capabilities

Many organization face the challenges of developing information into knowledge, and then converting that intelligence into actionable decisions. Organizations demand the interdisciplinary skills of professionals that can find insights through data, and are capable of telling stories about data that can assist decision makers across various business divisions. More importantly, students will be able to create a narrative on how advanced analytical techniques can be used to provide actionable business solutions.

Your company can be part of a project by accepting to assign a task to a multidisciplinary team of students for a term of 12 weeks.

Learners
Undergraduate
Any level
30 learners
Project
100 hours per learner
Learners self-assign
Teams of 3
Expected outcomes and deliverables

· 3 Deliverables over a 12 week engagement period that include:

· A project proposal document

· A fully detailed written report

· An on-site executive summary presentation

Project timeline
  • May 18, 2020
    Experience start
  • August 22, 2020
    Experience end
Project Examples

What is included?

· Up to a 4 student multi-disciplinary teams

· 400 Hours of work or more

· A Supervising professor who supports the students and guides the project

· 3 Deliverables over a 15 week engagement period that include:

· A project proposal document which includes:

  • background and introductions
  • problem definition and challenge
  • data requirements and data sources
  • methodology and approach
  • detailed analytical output regarding the use of both advanced and non-advanced analytics with key findings and insights, and how they benefit the organization
  • recommendations and conclusions

· An on-site executive summary presentation

Types of Projects

· Development of Reporting Dashboards with drill down analytical capabilities

· Development of predictive analytics solutions using machine learning techniques which include use of artificial intelligence

· Customer Segmentation Development including clustering-type solutions

· Customer Relationship Management Campaign Design and Implementation

Companies must answer the following questions to submit a match request to this experience:

Direct costs incurred by the students that are subjected to prior approval of the hosting organization are to be reimbursed

Sponsor must provide GBC a 1 page proposal brief that outlines the project background and proposed scope. This must be approved by the supervisor no later than 30 days prior to the commencement of the engagement

Sponsor is responsible for providing any internal data sources or access to data sources at the commencement of the project.

Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.