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IBM SPSS Statistics

IBM SPSS Statistics

Overview

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),…

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Recent Reviews

GOOD SOFTWARE IBM

8 out of 10
March 22, 2024
Incentivized
thanks to the fact that IBM® SPSS® Statistics is an incredible statistical software platform, we can make decisions in real time in our …
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User friendly analytics

9 out of 10
March 07, 2024
Incentivized
I use SPSS to analyze survey data for my org. My analyses range from simple descriptive statistics to correlations and complex models. I'm …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Video Reviews

1 video

IBM SPSS Review: Analytics Team Is Able to Review Statistics Quickly & Comprehensively
02:42
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Pricing

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Subscription

$99.00

Cloud
per month

Base

$3,610

On Premise
one-time fee per user

Standard

$7,960

On Premise
one-time fee per user

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.ibm.com/products/spss…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

IBM SPSS Custom Tables Explained in Two Minutes

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The IBM SPSS Regression Module Explained in Two Minutes

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IBM SPSS Bootstrapping Explained in Two Minutes

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IBM SPSS Advanced Statistics Explained in Two Minutes

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Product Details

What is IBM SPSS Statistics?

IBM® SPSS® Statistics is a statistical software platform boasting an interface and feature set that lets organizations extract actionable insights from data. Advanced statistical procedures help ensure high accuracy and quality decision making. All facets of the analytics lifecycle are included, from data preparation and management to analysis and reporting.

IBM offers an interactive demo: https://ibm.biz/SPSS_Statistics_demo


IBM SPSS Statistics Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Mac
Mobile ApplicationNo

Frequently Asked Questions

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).

Reviewers rate Implementation Rating highest, with a score of 8.7.

The most common users of IBM SPSS Statistics are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(421)

Attribute Ratings

Reviews

(1-25 of 45)
Companies can't remove reviews or game the system. Here's why
Samira Islam Resmi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • Maximum output with a shortest possible time.
  • It can be used to import and analyze data from Microsoft Excel for additional use.
  • Best for result and discussion especially for research based project work.
Alimah Feizah | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Providing accurate data predictive analytics.
  • Various data easy visualization and simple tool on collaboration.
  • Amazing Cloud data recovery platform.
  • Great budgeting system and data cleansing with IBM SPSS Statistics is impressive.
March 22, 2024

GOOD SOFTWARE IBM

Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • If you do not have personnel with prior training, it is not a useful tool.
  • An employee must be dedicated exclusively to extracting data from the tool to take advantage of all its advantages
Md Masudul Hassan | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • It works flawlessly and is an excellent tool for analyzing any kind of dataset for our agricultural finance and agribusiness-related research.
  • Tables and charts summarizing the outcomes of the statistical tests by IBM SPSS Statistics. This facilitates the efficient interpretation and communication of results obtained by academics, students, and researchers.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
  • Enables data analysis to be performed sufficiently, with a lower risk of error (e.g., due to typos in coding)
  • Easier learning curve for novice data analysts
  • Not suitable for all data analysis work that the business does, meaning we have to use other software too
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Its basically what we have to use, so ROI is more than 100% it's crucial to us doing any work
  • R statistic language is harder to learn for workers so SPSS wins
  • R statistic language is slower in use, so SPSS wins for fast analysis
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • I found SPSS easier to use than SAS as it's more intuitive to me.
  • The learning curve to use SPSS is less compared to SAS.
  • I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.
Rebecca T Barber, MBA, PHD | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • SPSS has made repeatable (yearly) analysis a reality, with minimal maintenance and therefore substantially less analyst time after the first year. It's hard to put time saved into $$ but the increase in time available for other tasks has been statistically significant.
Angela Falisi, MPH | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • For research purposes - SPSS is a streamlined, easy to use analysis software.
  • Allows analyses to be conducted in an effective and efficient manner.
  • Saves time and resources needed to learn and train staff on coding for specific platforms (like R or SAS).
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