IBM SPSS Statistics

Score8.2 out of 10

439 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

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

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

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

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

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

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

#1 most frequent

Educational Services

20.8%

3,347 installations of 16,072

#2 most frequent

Professional, Scientific, and Technical Services

16.3%

2,625 installations of 16,072

“IBM SPSS Statistics unlocked new operational headroom by streamlining advanced analytics, accelerating predictive modeling, and automating high-complexity statistical workflows.”
— Software Engineer, AlertEnterprise (201-500 employees)

#3 most frequent

Health Care and Social Assistance

9.0%

1,448 installations of 16,072

Nancy Nyambura

Senior Data Analyst in Research & Development at Maples ESM Technologies MapOptis (501-1000 employees employees)

Use Cases and Deployment Scope

With IBM SPSS Statistics, it's now possible to uncover valuable insights from our data. IBM SPSS Statistics allows me to easily collect, prepare, and analyze complex datasets quickly. I'm also using IBM SPSS Statistics to interpret data results efficiently.

Pros

Advanced data analysis.
Data preparation.
Predictive data models.
Data visualization.
Data reporting.

Cons

Regular improvements to this tool over time leave me with absolutely nothing to dislike about it.

Return on Investment

IBM SPSS Statistics enhances the process of making data-driven decisions.
IBM SPSS Statistics eliminates manual data entries, thus minimizing errors and increasing accuracy.
IBM SPSS Statistics saves time and effort by simplifying the process of analyzing large datasets.

Other Software Used

Microsoft SQL Server, FME, Zoho Survey, 123FormBuilder

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

Yashkumar Patel

Clinical Data Workflow Specialist in Corporate at Cliantha Research (201-500 employees employees)

Use Cases and Deployment Scope

We have used IBM SPSS for analyzing surveyed data and also internal behavioral matrix. Its UI is very easy to understand and clean. In addition, SPSS is the backbone of data analysis workflow. Undoubtedly, it is primarily used for survey analysis, predictive modeling and reporting. We can utilize raw data from multiple sources and convert it into market research charts and other forms of insights. It helps and gives us assurance in applying statistics and also for forecasting models helps analyze demand and support.

Pros

Definetely, its advanced statistical analysis which it supports without coding
Its predictive modeling and forecasting
Surved data analysis
Reporting and Visualizing

Cons

Its licence costing is a little drawback.
Integration with modern tools like tableau or power BI seems like a cherry on a cake.

Return on Investment

Time saving
improved decision making
faster reporting

Alternatives Considered

SAS Viya, Microsoft Excel and Stata

Other Software Used

Microsoft Excel

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

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

Most Frequent Users

Educational Services

Professional, Scientific, and Technical Services

Health Care and Social Assistance