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IBM M2020-229 Exam Syllabus Topics:

SectionObjectives
Topic 1: Sales Enablement and Positioning- Customer engagement scenarios
  • 1. Identifying customer needs for predictive analytics
    • 2. Mapping SPSS capabilities to business problems
      Topic 2: Competitive and Solution Differentiation- Competitive landscape understanding
      • 1. Key selling points and positioning strategy
        • 2. IBM SPSS differentiators vs alternative analytics tools
          Topic 3: IBM SPSS Predictive Analytics Portfolio Overview- SPSS product positioning and value proposition
          • 1. Business value and use cases in analytics
            • 2. Overview of IBM SPSS Predictive Analytics solutions
              Topic 4: Industry Applications- Predictive analytics use cases
              • 1. Marketing optimization and segmentation
                • 2. Customer churn prediction
                  • 3. Risk analysis and forecasting

                    IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:

                    1. What is NOT a key benefit of SPSS Statistics based on product feature/functionality?

                    A) A comprehensive set of data mining tools.
                    B) Multiple deployment capabilities.
                    C) Flexibility of multiple interfaces to key functions.
                    D) Accessibility of mathematical principles.


                    2. According to an independent study, what percentage of SPSS Modeler customers achieved a positive return on investment?

                    A) 94%
                    B) 47%
                    C) 24%
                    D) 12%


                    3. What is the main purpose of SPSS Modeler?

                    A) To uncover hidden relationships in data.
                    B) To craft effective and eye-catching surveys.
                    C) To improve the management of analytical assets.
                    D) To test specific hypotheses.


                    4. Which SPSS product(s) are required in order to use SPSS Decision Management?

                    A) SPSS Collaboration and Deployment Services and SPSS Modeler
                    B) SPSS Statistics and SPSS Modeler
                    C) SPSS Modeler and SPSS Data Collection
                    D) SPSS Collaboration and Deployment Services and SPSS Statistics


                    5. A Chief Operations Officer of an insurance company is looking for a way to combine business rules and predictions to easily identify fraudulent claims. Which SPSS product best fits this description?

                    A) SPSS Decision Management
                    B) SPSS Modeler
                    C) SPSS Collaboration and Deployment Services
                    D) SPSS Data Collection


                    Solutions:

                    Question # 1
                    Answer: A
                    Question # 2
                    Answer: A
                    Question # 3
                    Answer: A
                    Question # 4
                    Answer: B
                    Question # 5
                    Answer: B

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