IBM SPSS Statistics

Score8.2 out of 10

436 Reviews and Ratings

What is IBM SPSS Statistics?

SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

Categories & Use Cases

Media

SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.

SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.

IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.

IBM SPSS Statistics Curated Help. These can interpret correlation output.

IBM SPSS Statistics AI Output Assistant interprets statistical output in easy to consume language

1 / 5

Lauren Velasco

Data Analyst in Information Technology at Techila Global Services (1001-5000 employees employees)

Use Cases and Deployment Scope

IBM SPSS Statistics has intuitive user interface that is easy to navigate and run linear regression. It is the most reliable platform that I have used in the organization for data analysis from different departments. The customer support team is proactive and ever offers quick feedback when contacted via live chat or phone call.

Pros

Management of metadata.
Spreadsheet analysis.
Result and chart analysis in different navigation panes.

Cons

The UI can be upgraded to suit modern demands.
The price is high for most business enterprises.

Return on Investment

Efficient data analysis has enhanced positive ROI.
We have achieved main business objectives from effective performance.

Other Software Used

Splunk AppDynamics, IBM Process Mining, HubSpot CRM

Sameena Azhar

Associate Professor in Research & Development at Fordham University (1001-5000 employees employees)

Use Cases and Deployment Scope

In my organization, I regularly use IBM SPSS Statistics for data analysis on my projects in public health social work.

Pros

regressions
descriptive statistics
scatter plots

Cons

In my opinion, there is room for improvement regarding Issues with labeling variables easily with IBM SPSS Statistics
Another place where I think there is room for improvement in IBM SPSS Statistics is that I would like to automatically create dummy variables

Return on Investment

sure, the impact IBM SPSS Statistics has on our organization's overall business objectives is the positive impact from people having universal access to IBM SPSS Statistics

Other Software Used

Stata, NVivo

Tihomir Markulin

deputy CEO in Customer Service at private (201-500 employees employees)

Use Cases and Deployment Scope

In our organization, we use IBM SPSS Statistics For scientific paperwork's.

Pros

Data Analyze
regression analyze
statistics

Cons

I think IBM SPSS Statistics has room for improvement with the autosave function
I would like to see a more attractive gui in IBM SPSS Statistics
I think there is room for improvement by making IBM SPSS Statistics free for academic community
In my experience, there is room for improvement in IBM SPSS Statistics with more output formats

Return on Investment

In our organization, IBM SPSS Statistics has positively impacted us with time saving
Our organization is also positively impacted with money saving by using IBM SPSS Statistics

Other Software Used

IBM Watson Discovery, IBM Watson Language Translator (discontinued)

Raif Usal

IT Group Manager in Information Technology at Near East Bank (201-500 employees employees)

Use Cases and Deployment Scope

We are using IBM SPSS Statistics for our employee fraud module we developed to check and find unexpected actions taken place by our employees

Pros

data clearance
reaching data in a simple way
getting expected data in expected way

Cons

make it more user friendly

Return on Investment

time saving from automating manual data processing
staff saving from processing data manually and save from relying on them to do their job without missing any details

Alternatives Considered

IBM API Connect and IBM App Connect

Other Software Used

IBM App Connect, IBM API Connect

Verified User

Consultant in Research & Development (10,001+ employees employees)

Use Cases and Deployment Scope

As a CX researcher, I use SPSS Statistics to analyze survey data and internal behavioral metrics and combine the two. I like the easy-to-use GUI. When I am doing routine stuff, taking the time to write the code feels like a waste and another chance for a QC error. I have been using SPSS for over 30 years, and I'm a big fan. That said, it's getting to be almost too expensive.

Pros

GUI Interface.
Ease of manipulating data.
Processing speed.

Cons

Cost is becoming prohibitive.
Availability of procedures in the base package seems to be dwindling.
The copy-and-paste function from output to Excel is not as easy as it once was (now I have to do a "paste special").
Text and date handling are terrible.
Need to include AI-based NLP for survey verbatims and other text-based fields. This is becoming increasingly important in the CX world, yet SPSS seems to be ignoring it.

Return on Investment

Fast data.
Easy training.
Reliable results.

Alternatives Considered

Python IDLE

Other Software Used

Qualtrics XM for Strategy and Research, Decipher, Microsoft Excel

SAS Viya

Minitab Statistical Software

Stata

IBM SPSS Statistics

What is IBM SPSS Statistics?

Categories & Use Cases

Media

Reviews

Powerful raw data analysis system

Use Cases and Deployment Scope

Pros

Cons

Return on Investment

Other Software Used