4 out of 5.0, Reviewed Mar 16, 2016
There were some unexplained error messages generated that were not resolved efficiently.
Have a good vision of your end state.
very easy to use and understand.
documentation and help facility.
better documentation and help facility.
product was deployed as stand-alone application; not integrated
1 of 1 peer(s) found this review helpful.
5 out of 5.0, Reviewed Mar 15, 2016
SPSS is a well accepted product liked by analysts who are averse to using SAS.
SPSS does not secure/protect the integrity of datasets as SAS does. That is a key design flaw.
Easy to use, easy data management.
Does not have some of the advanced statistical analysis methodologies (GEE) compared to SAS.
We have several PC based licenses. I would coordinate all users to develop a community of users.
2 out of 5.0, Reviewed Mar 31, 2015
Good algorithmically, but not ready for prime time. Not priced effectively for the application.
Pay attention to deployment costs. Do not only pilot or "let's try this little project together to test outcomes". When we got to deployment, we found it was unaffordable.
Bleeding edge technology.
Not ready for prime time, more hype than reality.
IBM is very disjoint in their analytics offerings. Too many acquisitions have not yet integrated or the integration roadmap has not been vetted. One IBM business area competes with another. Sales teams only know their stove pipes. Very frustrating to navigate the maze of IBM analytics offerings. They are more hype than deploy ready.
Do a broader market survey. In this case it was personal relationships at the executive levels that pushed us to work together.