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Predictive Forecasting with Time Series Analysis

The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of what the future may hold can lead to happy customers, improved efficiency and productivity, and highly successful business decisions.

In this Data Science Central webinar learn how time series analysis better enables departments across your organization with actionable, more accurate insights related to the timing of equipment failure, customer offers, and the impact of effects like seasonality.

Speakers:

Murali Prakash, IBM Product Manager -- IBM SPSS
Mikhail Lakirovich, IBM Offering Manager -- IBM SPSS
Douglas Stauber, IBM Offering Manager -- IBM SPSS

Hosted by:
Bill Vorhies, Editorial Director -- Data Science Central

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