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| Section | Objectives |
|---|---|
| Sales Methodology for IBM SPSS Solutions | - Value-based selling and objection handling - Solution mapping to business outcomes - Customer pain point identification |
| IBM SPSS Predictive Analytics Overview | - Introduction to IBM SPSS predictive analytics solutions - Core capabilities and product positioning - Business value of predictive analytics in enterprises |
| Predictive Analytics Use Cases | - Forecasting and predictive modeling - Decision support and operational optimization |
| Industry Applications | - Customer analytics and segmentation - Marketing optimization and campaign analytics - Fraud detection and risk analysis |
| Sales Positioning and Value Proposition | - Mapping IBM SPSS solutions to business problems - Competitive positioning and differentiation - Identifying customer use cases and requirements |
Which statement is true about automated modeling?
Correct Answer: A 🗳️
Which characteristic of SPSS Modeler appeals more to power data mining experts?
Correct Answer: B 🗳️
A marketing department is looking to divide up their customer base in order to more effectively target each group. Which feature of SPSS Modeler best meets their needs?
Correct Answer: A 🗳️
Which type of model in SPSS Modeler is BEST suited for making categorical predictions of future outcomes?
Correct Answer: C 🗳️
Which message is the most important for a sales representative to deliver when selling SPSS Collaboration and Deployment Services (C&DS) to a line of business user?
Correct Answer: D 🗳️
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