Predictive Forecasting with Time Series Analysis
Event Details
Time: November 7, 2017 from 9am to 10am
Location: Online
Website or Map: http://bit.ly/2xJmHCn
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Nov 2, 2017
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Event Description
Space is limited.
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
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Again, Space is limited so please register early: |
| Reserve your Webinar seat now |
| After registering you will receive a confirmation email containing information about joining the Webinar. |
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Posted 27 July 2021
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