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IBM M2020-229 Exam Syllabus Topics:

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

                    IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:

                    1. The user interface and capabilities of SPSS Decision Management are best suited for which type of user?

                    A) Executive
                    B) Researcher
                    C) Line of business manager
                    D) Analyst


                    2. Which organization is the best prospect for SPSS Statistics?

                    A) A research group looking to craft multi-channel surveys.
                    B) An insurance company looking for new ways to retain profitable customers.
                    C) A retail chain looking to build predictive models.
                    D) A government institution looking to validate policy assumptions.


                    3. Which SPSS product best meets the needs of a customer looking to automate model building or share and protect analytical assets?

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


                    4. Which two SPSS Data Collection components make up SPSS Data Entry?

                    A) Author and Scan
                    B) Interviewer and Reports
                    C) Author and Interviewer
                    D) Author and Reports


                    5. Which type of model in SPSS Modeler is BEST suited for making categorical predictions of future outcomes?

                    A) Segmentation
                    B) Anomaly detection
                    C) Association
                    D) Classification


                    Solutions:

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

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