Overall Satisfaction with IBM SPSS Statistics
Run regression analysis on small and large data sets with adjustable CI. I have been using this for many years, and the modeling has been helpful in the predictors; yes, the output is basic but that is what makes this nice and clean, and it can be imported to reports easily and presented well on a slide deck.
- Easy to use.
- Don't need a lot of data prep to manipulate the data or clean it.
- Running a bit old in the UI.
- easy to get your ROI back as most people have the exposure via college
- shallow learning curve
We use it heavily for regression analysis given to co-op students to use as this has been an easy transition from their academic coursework. And used for predictive modeling.
This is a basic tool used to tease out improvements throughout the org when modeling the outcomes of processes. And increase efficacy. The cost savings have been proven to justify this process.
- Python IDLE and Posit
We tend to shy away from open source where possible. with SPSS from our feeder university system for our co-op interns, this is a great transition and a low barrier to getting them working quickly.
Do you think IBM SPSS Statistics delivers good value for the price?
Yes
Are you happy with IBM SPSS Statistics's feature set?
Yes
Did IBM SPSS Statistics live up to sales and marketing promises?
Yes
Did implementation of IBM SPSS Statistics go as expected?
Yes
Would you buy IBM SPSS Statistics again?
Yes
Using IBM SPSS Statistics
50 - from BI to basic analytical research on big and small datasets. when generating reports that can by built by syntax scripts. The syntax builder and library is a huge time saver as once built the same report can be generated, if a new set of parameters are needed the current syntax script can be edited and put in production with a short period after vetted
the peer managed support is the best way to resolve things as the hive mind to bring forth the best ideas and practices from different backgrounds will provide a robust solution. Plus SPSS is pretty intuitive when you use this a basic tool and everyone has prior experience with the tool.
- regression analysis
- basic statistics
- easy to adopt from prior knowledge
- huge library of syntax scripts
- self hive managed solution problem solving
- teach more non stats people to use the libaray of syntax
Evaluating IBM SPSS Statistics and Competitors
Yes - excel, not a statistical package
- Ease of Use
most post secondary grads have exposure already
no change, ease of use and adaptation i key as people actually use it right
IBM SPSS Statistics Implementation
- Implemented in-house
Change management was minimal - the use of spss over the years have been pretty standardized and the implementation was pretty straightforward as most user were standalone install verse this version
- notification of change, not everyone pays attention to the notices
IBM SPSS Statistics Support
Pros | Cons |
---|---|
Good followup Problems get solved | None |
no, as we have good in house resouces
nothing comes to mind as we hardly need to call support as the issues are resolved in house
Using IBM SPSS Statistics
Pros | Cons |
---|---|
Like to use Relatively simple Easy to use Technical support not required Well integrated Consistent Quick to learn Convenient Feel confident using Familiar | None |
- just the whole end to end usage, pretty intuitive
- feeder system from post secondary helps with the adoption
- does do meta analysis, so we use another package