If you are attending the JSM in Montreal next
week, come see Statistics 22 and other new SPSS offerings, including the
new Analytic Catalyst product, at IBM Booth 500.
Sign up for a webinar on the new release
to be held on Wednesday, August 14.
IBM SPSS Statistics continues to add groundbreaking
features to its predictive analytics techniques through improved tools,
output, and ease-of-use features. This release focuses on increasing the
analytic capabilities of the software. Register for the What’s
New in IBM SPSS Statistics live webinar to view firsthand how you can:
· Produce
presentation or publication-ready output that is easy for audiences to
understand
· View
interactive SPSS Statistics output on smartphones and tablets
· Build
more accurate predictive models when inputs are uncertain, including Simulating
Strings, Automatic Linear Modeling, Heat Maps, and more with the Monte
Carlo simulation capability
· Utilize
specialized techniques to speed performance and improve productivity and
effectiveness
Don’t miss your chance to see a live demo
of the new IBM SPSS Statistics….register today: http://w.on24.com/clients/ibm/SPSS_STATS
Version 22 includes several new features
in the area of programmability.
- Python and the Python Essentials are now
automatically installed with the main product (Bruce, David, you can decline).
No more separate download and installation steps.
- You can now browse, download, and install
IBM or user-contributed extension commands from within Statistics via Utilities
> Extension Bundles > Download and Install Extension Bundles. There
is no need to go to the web site for these, although these and other materials,
including the R Essentials are available via the site.
- Many of the features of the popular SPSSINC
MODIFY TABLES and SPSSINC MODIFY OUTPUT extension commands are now integrated
as native Statistics features with a better user interface than we could
do with the Custom Dialog Builder and have expanded and simplified syntax.
Jon Peck (no "h") aka Kim
Senior Software Engineer, IBM
[hidden email]
phone: 720-342-5621
Locked
