Forecasting and Analysis for Business and Organizations
Main contact
Timeline
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January 8, 2019Experience start
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January 30, 2019Project Scope Meeting
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March 6, 2019Midway Check In
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April 3, 2019Experience end
Timeline
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January 8, 2019Experience start
-
January 30, 2019Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates. Students need to receive the data they are to be working on before this date.
-
March 6, 2019Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
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April 3, 2019Experience end
Experience scope
Categories
Skills
business analysis data analysis researchStudents will use the latest tools in quantitative methods to provide forecasting and analysis of key data within your organization. These results will be useful for making more informed organizational decisions.
Students
The final project deliverables include:
A 10 page written report.
Project timeline
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January 8, 2019Experience start
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January 30, 2019Project Scope Meeting
-
March 6, 2019Midway Check In
-
April 3, 2019Experience end
Timeline
-
January 8, 2019Experience start
-
January 30, 2019Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates. Students need to receive the data they are to be working on before this date.
-
March 6, 2019Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
April 3, 2019Experience end
Project examples
Starting this January, fourth year students from the Schulich School of Business, working in teams of 4, will spend 60 hours per group working on a forecasting project of your choice.
Using the R programming language, students will visualize, model, analyze and forecast a data set provided by your organization.
Students are trained to use various forecasting techniques including, but not limited to:
Benchmarking, linear regression, time series decomposition, exponential smoothing methods, ARIMA, vector autoregression, hierarchical or grouped time series, artificial neural networks, classification and regression trees, and support vector machines.
Possible areas of focus include, but are not limited to:
- Forecast and analyze company level or product level sales data.
- Forecast and analyze industry trends.
- Forecast and analyze economy wide trends.
- Forecast and analyze customer buying trends.
- Forecast and analyze advertising effectiveness.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Main contact
Timeline
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January 8, 2019Experience start
-
January 30, 2019Project Scope Meeting
-
March 6, 2019Midway Check In
-
April 3, 2019Experience end
Timeline
-
January 8, 2019Experience start
-
January 30, 2019Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates. Students need to receive the data they are to be working on before this date.
-
March 6, 2019Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
April 3, 2019Experience end