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Predictive analytics

   Analyze data and build analytics models to predict future outcomes. Uncover potential risks and opportunities for your organization.

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     * Data science
     * Predictive analytics
     * Decision optimization

     * Overview
     * Getting started
     * Why IBM
     * Resources
     * Related products

   IBM named a 2020 Gartner Peer Insights Customers’ Choice

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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

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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.

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   Start your free trial
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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.

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   Calculate ROI
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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.

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   Start on desktop for free

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.

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Comprehensive predictive analytics capabilities

   Use an extensive library of machine-learning algorithms and statistical analyses in a single platform.

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Open-source integration

   Amplify the power of your analytical projects with R, Python and more.

   Read the white paper

Predictive analytics in action

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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.

   View the case study
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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.

   View the case study
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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.

   Watch the webinar

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.

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   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.

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   Shape and refine raw data

   See how to use IBM Data Refinery to prepare large data sets for predictive analysis.

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   Build a predictive model

   Use the SPSS Model operator in Watson Machine Learning to create a scoring algorithm.

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   Perform a machine learning exercise

   Get started with machine learning — perform an exercise in IBM Watson Studio using Apache SystemML.

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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.

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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.

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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.

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Dig deeper

Linear regression

   Generate predictions using an easily interpreted mathematical formula.

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Logistic regression

   Predict outcomes and make better decisions.

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