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IBM SPSS Statistics

Score7.9 out of 10

415 Reviews and Ratings

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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.

Reviews

What users are saying about IBM SPSS Statistics.
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SPSS Overview

Incentivized
Jim McDonough
President in Corporate at DataHub (11-50 employees employees)

Use Cases and Deployment Scope

We use SPSS Stats to gain insights into our data and customers data. With customers data, we help them gain insights about customer problems such as: 1) Customer acquisition. 2) Marketing campaigns. 3) Predictive Analysts.

Pros

  • Predictive Analytics
  • Prescriptive Analytics

Cons

  • Would like to see SPSS Analytics & Modeler together.
  • User Interface

Return on Investment

  • SPSS Stat helps our company gain insights into our data
  • Better overall decision making
  • Purging data.

Alternatives Considered

SAS Analytics Pro

Other Software Used

IBM Cognos Analytics, IBM Planning Analytics

IBM SPSS Statistics scientific pioneer

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

Use Cases and Deployment Scope

For scientific paperwork's.

Pros

  • Data Analyze
  • regression analyze
  • statistics

Cons

  • autosave function
  • more attractive gui
  • free for academic community
  • more output formats

Return on Investment

  • time saving
  • money saving

Other Software Used

IBM Watson Discovery, IBM Watson Language Translator (discontinued)

well decided product to buy

Incentivized
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

Advanced visualization Tools - IBM SPSS Statistics.

Incentivized
Charles Miller
VP Of Research and development in Research & Development at Steviaorganics (201-500 employees employees)

Use Cases and Deployment Scope

IBM SPSS statistics is an essential tool for sophisticated statistical analysis and data driven decision- making across a variety of corporate functions.
Examine clinical research results regarding herbal supplement efficacy and safety.
conduct multivariate statistical analysis of botanical extract compositions.
Validate research ideas using complicated statistical models.
Statistical process control ensures contant product quality.
variance analysis of raw material properties.







































Pros

  • Multivariate analysis
  • Predictive analytics
  • Users can do sophisticated statistical analysis with minimal programming skills.

Cons

  • The UI appears old and lacks the current inmtuitive design of newer statistical software tools
  • The customization possibilities for graphs are restricted.

Return on Investment

  • Automated statistical processes can reduce analysis time by 50 %- 70% compared to manual calculations
  • Produces reliable and verifiable analytical results.

Other Software Used

monday CRM

IBM SPSS Statistics

Incentivized
Verified User
Account Manager in Information Technology (1001-5000 employees employees)

Use Cases and Deployment Scope

We use IBM SPSS Statistics in our research studies for Quantitative data. The feature set is very easy to learn. The training that is given on the product is also very well done and accessible. I have used it in several studies for the university and plan to use in several of my future studies.

Pros

  • User Interface
  • The variety of feature sets
  • Ease of Use

Cons

  • Use of Delphi
  • Ai feature sets
  • .

Return on Investment

  • For research, it is the best product that I have worked with

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