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IBM SPSS Statistics

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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).

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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.

Who Buys & Uses IBM SPSS Statistics

IBM SPSS Statistics Reviews

What users are saying about IBM SPSS Statistics.
View all IBM SPSS Statistics reviews

Pros

  • Robust data handling, cleaning, and preparation features
  • Comprehensive statistical analysis capabilities, including complex models and hypothesis testing
  • Effective reporting and visualization for presentation-ready graphs

Cons

  • High cost and restrictive licensing structure
  • Outdated user interface design
  • Limitations in advanced data visualization capabilities

Comprehensive and Accurate Statistical Analysis App

Pevangelista Massimo Ferrantini
National Sales And Marketing Director in Marketing at Hub Legno (1-10 employees employees)

Use Cases and Deployment Scope

IBM SPSS has effectively helped our company in transforming raw data to actionable and meaningful insights.
We use IBM SPSS to conduct employee and customer surveys, predictive analytics and this guides us in generating reliable reports.
The program has comprehensive statistical measures that guides both non technical and technical users on data analysis
We get visualized results based on the analysis done, which assist us in decision making.

Pros

  • Complex and large datasets are effectively analyzed by this tool
  • All sophisticated analysis are automated and this uses hypothesis testing and regression analysis and
  • The transformation of raw data to actionable insights is a brilliant feature from the app

Cons

  • IBM SPSS has some add on modules that are expensive
  • Beginners find the interface more technical and some procedures are steep to learn
  • The customization part is problematic and needs some administrative intervention

Return on Investment

  • The automation of advanced statistical analysis reduces errors that can affect the decisions we make
  • The generation of actionable insights guides the company in proper planning
  • The optimization of customer satisfaction surveys helps us in determining what customers beed

A Masterful and Top-ranking Statistical Analysis Tool.

Incentivized
Babulal Choudhary
Data Analyst Manager in Research & Development at Brossard App Design (11-50 employees employees)

Use Cases and Deployment Scope

IBM SPSS Statistics enables me to analyze and manage large volumes of data more effectively. IBM SPSS Statistics is also a very useful tool for simplifying data entry. I'm delighted with IBM SPSS Statistics because it allows me to import/collect data from various sources.

Pros

  • Accurate forecasts.
  • Data import.
  • Advanced statistical analysis.
  • Data preparation.
  • Data visualization.
  • Customizable dashboards and reports.
  • Predictive analytics and modeling.
  • Data entries.

Cons

  • IBM SPSS Statistics delivers excellent performance and results in statistical analysis, so no challenges were encountered.

Return on Investment

  • IBM SPSS Statistics saves time and energy by automating and simplifying the manual data processing process.
  • IBM SPSS Statistics doesn't require much programming knowledge.
  • IBM SPSS Statistics delivers accurate data results.
  • Unlocking of valuable data insights.

Other Software Used

FME, Tableau Desktop, Xero

IBM SPSS Statistics is the Mastermind Solution Behind Simplified Data Analysis Process.

Incentivized
Rachel Benson
Software Engineer in Information Technology at Maples ESM Technologies (MapOptis) (501-1000 employees employees)

Use Cases and Deployment Scope

My experience with IBM SPSS Statistics has been outstanding and remarkable because it helps to streamline and simplify the entire scope of data analysis, preparation, and management. I'm using IBM SPSS Statistics to solve research problems more efficiently. Again, I'm using IBM SPSS Statistics to reduce manual data entry.

Pros

  • Predictive analytics, modeling and forecasting.
  • Data processing.
  • Data preparation and exploration.
  • Data management.
  • Graphs and presentation-ready reports.

Cons

  • There is nothing to disregard about IBM SPSS Statistics, as it covers the entire scope of statistical data analysis.

Return on Investment

  • IBM SPSS Statistics saves time and effort by automating and eliminating the process of manual data processing.
  • It's possible to discover actionable insights with IBM SPSS Statistics, which drives a high-quality, data-driven decision-making process.
  • IBM SPSS Statistics delivers accurate data results.

Other Software Used

ServiceNow App Engine, Jitterbit, GitLab Duo, Webflow

A Professional and Indomitable Tool for Advanced Statistical Analysis.

Incentivized
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

Powerful raw data analysis system

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

IBM SPSS Statistics Alternatives

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