15 years helping British businesses
choose better software

IBM SPSS Statistics

IBM SPSS Statistics

What is IBM SPSS Statistics?

IBM SPSS Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making.

Advanced statistical procedures and visualization can provide a robust, user friendly and an integrated platform to understand your data and solve complex business and research problems

•Addresses all facets of the analytical process from data preparation and management to analysis and reporting.

•Provides tailored functionality and customizable interfaces for different skill levels and functional responsibilities.

•Delivers graphs and presentation-ready reports to easily communicate results.

Who Uses IBM SPSS Statistics?

Organizations of all types have relied on proven IBM SPSS Statistics technology to increase revenue, outmaneuver competitors, conduct research, and data driven decision-making.

IBM SPSS Statistics Software - SPSS - Bootstrapping
IBM SPSS Statistics Software - SPSS - Direct Marketing
IBM SPSS Statistics Software - SPSS - Forecasting
IBM SPSS Statistics Software - SPSS - Missing Values
IBM SPSS Statistics Software - SPSS - Exact Test

Not sure about IBM SPSS Statistics? Compare with a popular alternative

IBM SPSS Statistics

IBM SPSS Statistics

4.5 (637)
US$99.00
Free version
Free trial
76
No integrations found
4.0 (637)
4.2 (637)
4.1 (637)
VS.
Starting Price
Pricing Options
Features
Integrations
Ease of Use
Value for Money
Customer Service
US$1,250.00
year
Free version
Free trial
108
25
4.1 (50)
4.3 (50)
4.5 (50)
Green rating bars show the winning product based on the average rating and number of reviews.

Other great alternatives to IBM SPSS Statistics

JMP
Top rated features
Data Discovery
Data Visualisation
Reporting/Analytics
GraphPad Prism
Top rated features
Data Visualisation
Regression Analysis
Reporting/Analytics
XLSTAT
Top rated features
Data Visualisation
Predictive Analytics
Regression Analysis
The Jupyter Notebook
Top rated features
Debugging
For Developers
Graphical User Interface
Microsoft Power BI
Top rated features
Data Connectors
Data Visualisation
Reporting/Analytics
EViews
Top rated features
File Storage
Regression Analysis
Reporting/Analytics
SAS-STAT Software
Top rated features
Data Visualisation
Predictive Analytics
Reporting & Statistics
Microsoft Excel
Top rated features
Collaboration Tools
Data Import/Export
Offline Access
Stata
Top rated features
Data Import/Export
Reporting/Analytics
Statistical Analysis

Reviews of IBM SPSS Statistics

Average score

Overall
4.5
Ease of Use
4.0
Customer Service
4.1
Features
4.5
Value for Money
4.2

Reviews by company size (employees)

  • <50
  • 51-200
  • 201-1,000
  • >1,001
Samuel
Samuel
Founder and CEO in UK
Verified LinkedIn User
Internet, 2–10 Employees
Used the Software for: 1+ year
Reviewer Source

Alternatives Considered:

IBM SPSS for fast analysis

5.0 2 months ago New

Comments: IBM is good for academic research and analysis.

Pros:

Can provide accurate analysis without coding. There are range of analysis options to choose from. Light weight. You can integrate python programming language with IBM SPSS.

Cons:

The User Interface is not modern. Mostly for academic research and analysis. Cannot embed charts. Charts are not interractive but static images.

Dana M
Dana M
Marketing Management in US
Verified LinkedIn User
Marketing & Advertising, 51–200 Employees
Used the Software for: 6-12 months
Reviewer Source

Alternatives Considered:

Timeless IBM

5.0 last year

Comments: IBM's predictive analytics and data SPSS statistics are among the most advanced statistical tools available on the market. With its powerful algorithms and intuitive user interface, it allows businesses to make informed decisions based on predictive analysis, trend forecasting and statistical modeling. IBM's software offers a comprehensive approach to data analysis that includes descriptive, predictive and prescriptive analytics, which can help businesses streamline their operations, reduce costs and gain insights into customer behavior. Overall, IBM's predictive analytics and data SPSS statistics is a powerful platform that can help businesses gain a deeper understanding of their data and make better decisions based on fact-driven insights.

Pros:

IBM's Predictive Analytics and Data SPAS Statistics Pro are powerful tools for businesses to harness the power of data and make informed decisions. With predictive analytics, companies can analyze historical data to identify trends and generate forecasts, allowing them to anticipate future market conditions and make appropriate strategic adjustments. Meanwhile, SPAS Statistics Pro provides powerful tools for data analysis, allowing users to rapidly uncover insights and generate actionable recommendations. By leveraging these solutions, businesses can gain a significant competitive advantage, enhancing their ability to make data-driven decisions and achieve their strategic objectives.

Cons:

IBM’s predictive analytics and data SPSS statistics flaw has recently come to light as concerns have been raised about the tool's ability to produce inaccurate results. This has caused businesses and organizations to doubt the usefulness of the technology, as it may lead to incorrect decisions being made based on the data produced by the software. IBM is working to address the issue and improve the accuracy of its predictive analytics and data SPSS statistics, but in the meantime, it is important for users to be aware of this potential flaw and approach their data analysis with caution.

Grisell
Grisell
Sociologa in Venezuela
Verified LinkedIn User
Used the Software for: 2+ years
Reviewer Source

Being in the field of Social Sciences is almost a requirement to get a complet analysis.

3.0 6 years ago

Comments: With SPSS it is possible to collect data, create statistics, analyze management decisions and much more. Gives the opportunity of doing complex analysis and take on prediction models.
The capacity of solving problems of applied statistics by brute force or by trying thousands of combinations to finally stay with what is believed to be the best for use.

Pros:

The importance of capture and analyze data to create tables and graphs with complex data. Its ability to manage large volumes of data and carrying out text analysis amog other formats. Being able to use the statistical software, with descriptive statistics such as tabulation and crossover frequencies, and correlation tests. The program allows you to take your data and easily create a wide variety of visual effects such as radial boxplots and density graphs.

Cons:

In more complex programs you need to have programming knowledge, as well as to make the most laborious calculations. In statistics, often contradictory results can be obtained between different tests. It does not provide the expected results in the expected time. It sometimes leads to unnecessary sophistication by allowing the use of complex techniques to answer simple questions. If the user does not have previous experience using SPSS or if their statistical knowledge is not up to date, it is difficult to understand which options to select. The results reports contain an excessive level of information.

Luca
CEO in Italy
Verified LinkedIn User
Market Research, 2–10 Employees
Used the Software for: 2+ years
Reviewer Source

The history of statistics

4.0 4 years ago

Comments: This is the software that I use the most for my work and, even if at times I have to struggle a little to perform "new things", I always find a way. I managed to automate many many tasks and I have reached a very high level of productivity, meaning that I can click a button, let the computer run all nights, and the morning after I find all the jobs done.

Pros:

The ability to perform almost all easy and complex statistical analysys without writing code AND the possibility to automate simple and complex tasks by actually writing code. This software is huge and it supports a very large set of feautures.

Cons:

This software is a milestone for statisticians of all over the world. I've been using it for more than 30 years. This means that this software is aging more and more, and perhaps it needs a faster modernization cycle than the current.

Ngha
Ngha
Data Analyst in Cameroon
Verified LinkedIn User
Information Technology & Services, 2–10 Employees
Used the Software for: 2+ years
Reviewer Source

Alternatives Considered:

Easy to use Statistical analysis software

5.0 2 years ago

Comments: Overall, using SPSS with other statistical software like SAS JMP and Excel provides great value. The software is great but surely there is room for improvement

Pros:

I Return to mostly because of its data cleaning capability and the ability to save chart templates and reuse. It is flexible for basic statistical analysis though requires an good statistical background to perform sophisticated statistical analysis with it.

Cons:

The fact that the software has no algorithms that can help you decide on the right statistical test seems problematic to novices in statistical data analysis. You must know the exact test to perform, the software cannot help you decide