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Last Updated: Oct 04, 2026
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| Section | Objectives |
|---|---|
| Topic 1: IBM SPSS Predictive Analytics Overview | - Business value of predictive analytics in enterprises - Core capabilities and product positioning - Introduction to IBM SPSS predictive analytics solutions |
| Topic 2: Industry Applications | - Marketing optimization and campaign analytics - Customer analytics and segmentation - Fraud detection and risk analysis |
| Topic 3: Sales Positioning and Value Proposition | - Identifying customer use cases and requirements - Competitive positioning and differentiation - Mapping IBM SPSS solutions to business problems |
| Topic 4: Sales Methodology for IBM SPSS Solutions | - Solution mapping to business outcomes - Value-based selling and objection handling - Customer pain point identification |
| Topic 5: Predictive Analytics Use Cases | - Decision support and operational optimization - Forecasting and predictive modeling |
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: D 🗳️
Which type of model in SPSS Modeler is BEST suited for making categorical predictions of future outcomes?
Correct Answer: B 🗳️
A customer wants to develop a compelling survey, mine the unstructured responses for meaningful trends and relationships, and then deploy the results. Which SPSS product is NOT required to drive this goal?
Correct Answer: A 🗳️
Which SPSS product best meets the needs of a customer looking to automate model building or share and protect analytical assets?
Correct Answer: D 🗳️
Which characteristic of SPSS Collaboration and Deployment Services appeals most to expert analysts?
Correct Answer: A 🗳️
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