IBM SPSS Statistics

Uncover data insights that can help solve business and research problems

IBM SPSS Statistics is a powerful statistical software platform. It offers a user-friendly interface and a robust set of features that lets your organization quickly extract actionable insights from your 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.


Easy to use

Prepare and analyze data easily through an intuitive user interface without having to write code.

Integrated with open source

Enhance SPSS syntax with R and Python using a library of extensions or by building your own.


Run advanced and descriptive statistics, regression analysis, decision trees, and more with an integrated interface.


Choose from subscription or traditional licenses, with multiple options for capabilities based on need.


Intuitive user interface

Perform powerful analyses without coding experience using a drag-and-drop interface.

Advanced data visualizations

Build visualizations and easily export to include in multiple file formats to communicate results effectively.

Automated data preparation

Help ensure data is clear, properly organized and ready for analysis.

Efficient data conditioning

Identify invalid values, view patterns of missing data and summarise variable distributions.

Local data storage

Increase data security by storing files and data on your computer rather than in the cloud.

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Discriminant scores scatter

Classify groups based on measured characteristics.

Bayesian procedures

Estimate Bayes factors and posterior distributions for parameters.

Multilayer perceptron (MLP) network

Predict or classify outcomes using neural network models.

Estimated marginal means

Compare group means using a general linear model approach.

IBM SPSS Modeler

Drive ROI and accelerate time to value with an intuitive, drag-and-drop data science tool

From drag-and-drop data exploration to machine learning

SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.


Go live in days,
not months or weeks

Start with GUI-based data science and machine learning algorithms.

Boost data science team productivity

Empower coders, non-coders and analysts.

Scale with peace of mind

Start small and expand with enterprise-class security and governance.

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Modeler stream

Data refinery and profiling – data audit

Text analytics add-on

Data visualization

IBM Watson

AI for smarter business

IBM’s portfolio of business-ready tools, applications and solutions, designed to reduce the

 costs and hurdles of AI adoption while optimizing outcomes and responsible use of AI.


Watson advances trust from principle to practice. Transparent processes provide insight into AI-led decisions. It enables data privacy, compliance and security across highly regulated industries, and support an open, diverse ecosystem driving responsible use of AI.


Watson understands the language of your business. Natural language processing lets Watson analyze complex, unstructured data, computer code, and even industry-specific jargon. So you can make more informed decisions and deliver better experiences.


Watson works securely on any cloud. Underpinned by Red Hat OpenShift, Watson brings AI to your data wherever it resides, including AWS, Azure, and GCP. This means a more unified view of your data, more consistency and flexibility, and better integration.


Watson streamlines how businesses operate and yields leaps in productivity. Intelligently automate virtually any type of work, at scale. Augment core strengths, offset skilled-labor shortages, and give employees more time to focus on creating new value.