Time Series Forecasting

BSTA477/DESC677
Closed
Main contact
Concordia University
Montreal, Quebec, Canada
Lecturer
1
Timeline
  • January 15, 2019
    Program start
  • January 30, 2019
    Project Scope Meeting
  • March 13, 2019
    Midway Check In
  • April 9, 2019
    Program end
Program
3 projects wanted
Dates set by program
Preferred companies
Anywhere
Any
Any industries

Program scope

Categories
Information technology Market research
Skills
research analysis
Learner goals and capabilities

Is your data an untapped resource that could be used more effectively to drive decision making? In this assignment, student-consultants will work with time series data provided by your organization, and use forecasting techniques to help you and your organization derive insights and make more informed decisions.

Learners

Learners
Undergraduate
Any level
50 learners
Project
20 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

Students will submit a 15-20 page report with enumeration of forecasting techniques used, any other high-level project components worth being mentioned, supporting graphs and tables, and recommendations.

Organizations also have the option to have the team make a presentation of their findings.

Project timeline
  • January 15, 2019
    Program start
  • January 30, 2019
    Project Scope Meeting
  • March 13, 2019
    Midway Check In
  • April 9, 2019
    Program end

Project examples

Requirements

Before analyzing your data, students will work with you to identify your forecasting goals: how forecasts should be presented and at what frequency, intended end-users of these forecasts, who and how forecasts will be maintained. The students will provide you with an analysis and recommendations on issues of your choice.

Possible projects include, but are not limited to:

  • Analyzing historical buyer data to identify key target markets or new business development opportunities.
  • Analyzing available industry data to identify market trends
  • Identifying trends and patterns in your sales cycle
  • Identifying trends in demand to help with forecasting
  • Identifying 1-3 forecasting techniques that will predict future outcomes of interest to the organization

Additional company criteria

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

  • Q1 - Checkbox
  • Q2 - Checkbox
  • Q3 - Checkbox