IBM SPSS Statistics Reviews & Insights

Score7.8 out of 10

415 Reviews and Ratings

Community insights

TrustRadius Insights for IBM SPSS Statistics are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Ease of Use: Users have praised the software for its user-friendly interface, making it simple to conduct statistical analyses and data visualization efficiently. The intuitive graphical user interface system has been highlighted as a key factor in enhancing the overall user experience.

Wide Range of Statistical Methods: Reviewers appreciate the availability of various statistical methods and algorithms within the software, enabling easy application in different types of analyses. This diverse range allows users to choose the most suitable approach for their specific analytical needs.

Efficient Data Handling: Many users value the software's capability to handle large and complex datasets effectively, ensuring accurate and quick analysis. This efficient data management feature streamlines processes and improves productivity for users across various industries.

IBM SPSS Statistics Reviews

3 Reviews

Engineering

IBM SPSS Statistics two thumbs up

Rating: 8 out of 10

Incentivized

April 3, 2025

Use Cases and Deployment Scope

Provides us with insight into basic statistical type of analysis related to our Construction business and specifically our estimating data. As Excel has limitations in handling large datasets of volume which we require to analyze and compare, this platform gives us an effective tool in order to achieve a simple way to evaluate and interpret the results.

Pros

Reporting the results/findings
Assists in preparing the data set quickly
Efficient in providing an evaluation of the analysis

Cons

Could be more user freindly
Reports could be better
Cost/pricing

Likelihood to Recommend

IBM SPSS Statistics puts constraints on internal file structure as well as data types and data processing, in addition to matching files. All this ability combined considerably simplifies programming. The datasets have two-dimensional table structures where the rows represent specific cases and the columns represent measurements. All data processing then occurs sequentially case-by-case through the file.

Verified User

Director in Engineering (Construction company, 1001-5000 employees)

Vetted Review

5 years of experience

Best Statistical Analysis Solution with less hassle

Rating: 9 out of 10

Incentivized

March 6, 2024

Use Cases and Deployment Scope

I use IBM SPSS Statistics mainly for analysis and prediction based on my existing data for improving user experience, analysing software crashes and predicting next targets for sales and acquisitions. While I used common analytics tools like Microsoft Clarity, Google Analytics, Firebase Analytics, etc. but they just do it as basic level. My requirements were to dive deeper on those data, and wanted to derive outcomes using various methodologies. Upon researching, I found out about this, and decided to give it a try. And till now, it works perfectly for me.

Pros

Comes with various in-bulit algorithms for easy apply
Data Analysis and deriving outcomes
End-to-End Statistical procedures within the same Software suite
Easy to use Interface

Cons

First time setup of software has glitches, i.e. infinite sign-in loop.
Need to purchase add-ons separately for advanced algorithms and features.
UI looks outdated.

Likelihood to Recommend

It all depends on your overall usage and requirements. If you are a normal users who doesn't want to go deeper in how algorithms works and mathematical intuition behind them, they this is perfect statistical tool for you. But you are in technical side, want to learn how those algorithms and mathematics works, and have plenty of time to design your own algorithm using Python, R, Scala, Julia, or any other languages, then you can avoid this. Overall, it is for the users, who just want easy to use solution.

Aashrut Vaghani

Lead Engineer in Engineering at Agent Crop (Farming, 1-10 employees)

Vetted Review

1 year of experience

Verified on LinkedIn

IBM SPSS data analysis tool for objective decision making.

Rating: 7 out of 10

Incentivized

July 9, 2018

Use Cases and Deployment Scope

It is used by the engineering department to prepare reports, investigations, forecasts, systematization, analysis, presentation and for the organization of professional quality data for decision making.

Currently, it is used to carry out multiple linear regression analysis for the purpose of forecasting the value of goods and for the application of mathematical financial techniques in order to determine what the alternatives are thay pay towards the efficiency and profitability of the company.

Pros

Application of descriptive statistics technique to work with demography.
Application of inferential statistics techniques for the investigation of operations with aims that the company is every day more optimal.
It offers a spreadsheet for data entry, organization, analysis and reporting of results that allows understanding the behavior of the values, and consequently interpreting the results.
It facilitates the analysis of complex data sets for compliance with advanced statistical procedures, offering results of high precision and reliability.
It provides the possibility of importing and exporting different types of files, ignoring hidden Excel columns and rows, removing leading and trailing spaces from string values, exporting value labels to a database, and many specific options. that allow us to work in the analysis of data that support decision making.

Cons

I do not like graphics tools, I think they are very basic, it would be pertinent to evaluate the graphics tools of other similar programs in order to improve the image of such presentation.
Other aspects that I do not like very much is the quality of the results reports because they are not easy to understand and interpret accordingly. I consider that IBM SPSS should look for ways to design a module to improve the presentation of the results. Other things that are cumbersome is the historical results because it has to confuse because the information is disorderly. The reports are very basic, little colorful and confusing.
I have used graphics tools to show certain results, personally I do not like them very much, I think they can improve their presentation.

Likelihood to Recommend

I would say that it is an ideal integral program for the application of descriptive and inferential statistical methods and for the systematization, analysis, evaluation and organization of data for decision making.

It offers multiple options for analyzing results that allows individuals or organizations to understand or present a report of a certain situation.

I would tell you if you want to make quality charts and easy to understand report look for another program.

It contains a multifunctional easy-to-use and understandable spreadsheet that offers the possibility of working with any database, as well as options that allow a lot of content to be left in rows or columns and perform the respective statistical analyzes.

I recommend inferential statistics tools because they are very complete, which allows people or organizations to obtain complex results ideal for making strategic decisions.

JESUS EDUARDO MEZA RAMIREZ

Analista in Engineering at Constructora Conkor, C.A. (Construction, 51-200 employees)

Vetted Review

3 years of experience

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IBM SPSS data analysis tool for objective decision making.

Rating: 7 out of 10

Incentivized

July 9, 2018

Use Cases and Deployment Scope

Pros

Application of descriptive statistics technique to work with demography.
Application of inferential statistics techniques for the investigation of operations with aims that the company is every day more optimal.
It offers a spreadsheet for data entry, organization, analysis and reporting of results that allows understanding the behavior of the values, and consequently interpreting the results.
It facilitates the analysis of complex data sets for compliance with advanced statistical procedures, offering results of high precision and reliability.
It provides the possibility of importing and exporting different types of files, ignoring hidden Excel columns and rows, removing leading and trailing spaces from string values, exporting value labels to a database, and many specific options. that allow us to work in the analysis of data that support decision making.

Cons

I do not like graphics tools, I think they are very basic, it would be pertinent to evaluate the graphics tools of other similar programs in order to improve the image of such presentation.
Other aspects that I do not like very much is the quality of the results reports because they are not easy to understand and interpret accordingly. I consider that IBM SPSS should look for ways to design a module to improve the presentation of the results. Other things that are cumbersome is the historical results because it has to confuse because the information is disorderly. The reports are very basic, little colorful and confusing.
I have used graphics tools to show certain results, personally I do not like them very much, I think they can improve their presentation.

Likelihood to Recommend

JESUS EDUARDO MEZA RAMIREZ

Analista in Engineering at Constructora Conkor, C.A. (Construction, 51-200 employees)

Vetted Review

3 years of experience

View profile