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Predictive analytics for planning

Use historical data to forecast and improve project planning accuracy

Leverage historical project data to build predictive models that improve estimation accuracy and resource planning.

95 minutes
analysis

Overview

Leverage historical project data to build predictive models that improve estimation accuracy and resource planning.

Learning objectives

  • Analyze historical project data
  • Identify patterns and trends
  • Build forecasting models
  • Validate and refine predictions

Instructions

Develop predictive analytics capabilities to improve planning and estimation.

Steps

1

Gather data

25 minutes

Gather historical project data

2

Identify variables

20 minutes

Identify predictive variables

3

Build models

25 minutes

Build initial models

4

Validate accuracy

15 minutes

Validate model accuracy

5

Create guidelines

10 minutes

Create usage guidelines

Pro tips

  • •Start with simple models
  • •Track prediction accuracy over time
  • •Account for changing contexts
  • •Combine models with expert judgment

Example outcome

Predictive models that improve sprint planning accuracy by 30% and help identify potential project risks early.

Explore more resources

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