Time Series Forecasting
General
- Undergraduate; 3rd year
- 50 learners; teams of 4
- 20 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 3 projects wanted
- Anywhere
- Academic experience
- Any
- Any industries
Categories
Skills
Project timeline
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January 15, 2019Experience start
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January 30, 2019Project Scope Meeting
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March 13, 2019Midway Check In
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April 9, 2019Experience end
Timeline
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January 15, 2019Experience start
-
January 30, 2019Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates.
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March 13, 2019Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
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April 9, 2019Experience end
Overview
- Details
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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.
- Learner skills
- Research, Analysis
- Deliverables
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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 Examples
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 experience:
Provide students with data in a format that is agreed upon between students and organization, within identified timelines. Students can sign NDAs as required.
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.