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What is predictive analytics?
Predictive analytics is the use of advanced analytic techniques that leverage historical data to uncover real-time insights and to predict future events. The use of predictive analytics is a key milestone on your analytics journey — a point of confluence where classical statistical analysis meets the new world of artificial intelligence (AI). Predictive analytics can help you transform the way your business operates. But how do you know when it’s the right time to adopt these practices?
The answer is simple: the time is now. Today’s unprecedented convergence of intuitive tools, new predictive techniques and hybrid cloud deployment models makes predictive analytics and modeling more accessible than ever before. For the first time, organizations of all sizes can have the tools to embed predictive analytics into their business processes and to harness AI at scale. Enterprises now have the power to extract value from previously unexplored “dark data”— including everything from raw text to geolocational information.
If your organization can evolve from departmental, small-group AI projects towards an enterprise data science platform, you stand to gain significant competitive advantage. Those who don’t seize the opportunity risk falling behind their competitors.
Getting started with predictive analytics
Start your predictive analytics journey with these tools
Understand and analyze data
As the world’s leading statistical analysis software, IBM SPSS® Statistics is designed to solve business and research problems using ad hoc analysis, hypothesis testing, geospatial analysis and predictive analytics. Understand data, analyze trends, forecast and plan to validate assumptions and drive accurate conclusions.
Build data models
The IBM SPSS Modeler solution can help you tap into data assets and modern applications, with complete algorithms and models that are ready for immediate use. Explore the IBM-commissioned Forrester Consulting tool to learn how you can increase data science productivity and gain rapid ROI.
Deploy and train models for AI
IBM Watson® Studio Desktop is a leading data science and machine learning platform built from the ground up for an AI-powered business. Simplify the process of experimentation to deployment. Speed data exploration and model development and training. Scale data science operations across the lifecycle.
Why IBM predictive analytics?
A flexible and scalable platform for one-to-many analytics
User-friendly predictive analytics
Get ready access to deep analytical power with an award-winning, intuitive interface.
Comprehensive predictive analytics capabilities
Use an extensive library of machine-learning algorithms and statistical analyses in a single platform.
Open-source integration
Amplify the power of your analytical projects with R, Python and more.
Predictive analytics in action
Leverage powerful new models, algorithms and tools
SPSS Statistics helps you discover the significance of collected data. Find out how SPS Srl helps their clients gain competitive edge by providing advanced analytics and machine learning solutions that augment the built-in capabilities of IBM SPSS Statistics.
SPSS software and open-source integration
IBM SPSS and open-source integration form a potent tool to extract deep insights from your data and help you build efficient models. See how this approach is helping Grupo Boticário to increase accuracy of demand forecasts by 20 percent.
Change Your AI Game: AI-Powered Customer Experience (CX) on Watson Studio
Deploy and scale faster with an AI-infused platform. This webinar explores Watson Studio and IBM Watson Machine Learning – tools that can help your organization become an AI-powered enterprise.
Get hands-on experience
Explore IBM predictive analytics firsthand with code patterns and tutorials
Predict equipment failure using IoT sensor data
Learn how IBM Watson Studio can predict equipment failure and perform multivariate analysis on IoT sensor data.
Analyze open medical datasets to gain insights
Harness IBM Watson Studio to run through various machine learning classifiers, and compare the outputs with evaluating measures.
Shape and refine raw data
See how to use IBM Data Refinery to prepare large data sets for predictive analysis.
Build a predictive model
Use the SPSS Model operator in Watson Machine Learning to create a scoring algorithm.
Perform a machine learning exercise
Get started with machine learning — perform an exercise in IBM Watson Studio using Apache SystemML.
Data science related products
IBM Decision Optimization
This family of optimization software products delivers prescriptive analytics capabilities that can help organization leaders make better decisions and more fully achieve their business goals.
IBM Watson Machine Learning
This tool can help data scientists and developers work together to simplify, accelerate, govern and integrate AI deployments. Watson Machine Learning helps you to harness machine learning and deep learning to deliver business value.
IBM Cloud Pak for Data
This multicloud data platform provides a trusted analytics foundation that helps you collect, organize and analyze data. IBM Cloud Pak® for Data provides easier access to data and helps you to scale insights on demand with AI.