A. SQL Pushback, In Database Scoring Adapters and In Database Mining

B. Python Scripting and R integration

C. Monte Carlo Simulation and Social Network Analytics

D. Space Time Boxes

A. Business Analyst

B. Data Scientist

C. Analytic Professional

D. Business Manager

A. No programming needed

B. Integrated deployment

C. Automated modeling

D. Automated data preparation

A. Customer desires the ability to combine business logic with predictive models.

B. Customer desires integrating predictive analytics with prescriptive analytics (optimization) to manage tradeoffs and make best use of scarce resources.

C. Customer desires greater insight into the algorithms and approaches used to build their models.

D. Customer desires to use advanced analytics to drive daily business processes.

A. IBM SPSS Modeler is a cloud-based portal for advanced analytics.

B. IBM SPSS Modeler is a workbench of algorithms for data scientists and advanced statisticians.

C. IBM SPSS Modeler is a predictive analytics platform used to create reports and dashboards.

D. IBM SPSS Modeler is a comprehensive predictive analytics platform, designed to bring predictive intelligence to decisions made by individuals, groups, and systems.