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| Section | Objectives |
|---|---|
| IBM SPSS Predictive Analytics Portfolio Overview | - SPSS product positioning and value proposition
|
| Competitive and Solution Differentiation | - Competitive landscape understanding
|
| Sales Enablement and Positioning | - Customer engagement scenarios
|
| Industry Applications | - Predictive analytics use cases
|
1. Which type of model in SPSS Modeler is BEST suited for making categorical predictions of future outcomes?
A) Classification
B) Association
C) Anomaly detection
D) Segmentation
2. What is NOT a key benefit of SPSS Statistics based on product feature/functionality?
A) Accessibility of mathematical principles.
B) Flexibility of multiple interfaces to key functions.
C) A comprehensive set of data mining tools.
D) Multiple deployment capabilities.
3. Which question is most appropriate to ask when selling SPSS Data Collection?
A) How consistent is your decision making?
B) Do you have projects where knowing what your customers thought would impact your decisions?
C) How do you currently deploy your analytics results?
D) Are you able to analyze individual transactions to identify purchase patterns?
4. Which statement is true about SPSS Text Analytics?
A) It confirms model accuracy.
B) It supports over 100 languages.
C) It allows users to import custom rules and categories.
D) It requires new users to build categories and dictionaries from scratch before it can be used.
5. Which SPSS capability is best suited for a retailer looking to discover the most effective product combinations?
A) Predictive Maintenance
B) Campaign Insight and Offer Optimization
C) Customer Retention and Growth
D) Market Basket Analysis
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |
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