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M2020-733 Questions and Answers
You are in conversation with a prospect currently using R (open source). IBM SPSS Statistics would be an appropriate alternative. Which statement is NOT correct?
IBM SPSS Statistics has intuitive drop down menus and point and click dialogue boxes as an alternative to writing code.
R users can run any routines, programs or custom procedures already written in R directly through IBM SPSS Statistics.
With IBM SPSS Statistics, R users can distribute R packages to a wide range of users including those who are not familiar with R.
IBM SPSS Statistics develops and deploys even the most complex planning and analysis models using a guided modeling environment.
If a prospect is interested in Monte Carlo simu-lations, which IBM SPSS Statistics solution should the prospect consider?
Any IBM SPSS Statistics bundle can be considered
IBM SPSS Statistics Standard only
IBM SPSS Statistics Professional only
IBM SPSS Statistics Premium only
When working with a prospect new to IBM SPSS Statistics, at which stage is it MOST appropriate to suggest a software trial?
Immediately after the scoping call.
Only after a budget has been established.
After a use case has been established.
It is always appropriate to send a software trial.
A prospect you have been actively engaged with is considering whether to add additional tools to their suite of analytic tools or to continue using spreadsheets. Which is a positive indication the prospect will purchase IBM SPSS Statistics?
The IT department will make the final decision and prefers software that is data agnostic and open source.
The team of analysts are data scientists that prefer to code their statistical algorithms.
The IT department is in favor of moving all its software applications to the cloud.
The COO has a strategic priority of pushing analytics to individuals in multiple divisions throughout the enterprise.
Which statement is true about IBM SPSS Statistics?
Addresses data collection, data management and reporting.
Addresses data management, analysis and reporting.
Addresses data collection, data mining and data management.
Addresses data modeling, text mining and reporting.
Reference: www.ibm.com/developerworks/community/files/form/anonymous/api/library/b5b b 8a42-04d2-4503-93bb-dc45d7a145c2/document/0f1a7b3b-31eb-4b62-9c62- 1daa4d163a13/media/WhitePaper-UsingRandStatisticsTogether.pdf(page 3, first para)