Infographic: What is Forecasting?
On Demand Webinar: Hot Tech Tips for Using IBM SPSS Statistics:
Time Series & Forecasting
Forecasting predicts future values of a particular quantity based on previously observed values of that quantity.
IBM SPSS Forecasting offers a range of capabilities allowing users to develop reliable forecasts using time series data. Accurate demand forecasting helps decision making across all business areas, allowing you to better anticipate demand and allocate resources more effectively.
Some applications are: workload projections, sales forecasts, prediction of product demand, call centre volumes, web traffic, etc.
What others have achieved using IBM SPSS Forecasting
Pabst Brewing is now effectively managing cost and predictive insights for reliable forecasts.
Benefits:
- Decreased forecast generation time from 3 months to 2 weeks
- Increased staff time spent on value-added analysis from 20% to 80%
Milgard is now accurately predicting sales to ensure they have the resources to fill incoming orders fast.
Benefits:
- Optimised time for new budget iterations from weeks to days, driving agility
- Increased staff time focused on adding value due to time-savings
Kruger has now enhanced budgeting and forecasting in its containerboard division.
Benefits:
- Improved raw materials planning and cost control
- Optimised production scheduling and machine utilisation, which leads to reduced order lead times
Time Series Forecasting allows you to:
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