IBM Analytics
Predictive Analytics
Optimize the future with better decisions today
Optimize the future with better decisions today
What Is Predictive Analytics?
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Why IBM?
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What Is Predictive Analytics?
Predictive Analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, entity analytics, optimization, real-time scoring, machine learning and more. IBM puts these capabilities into the hands of business users, data scientists, and developers.
IBM SPSS Modeler
Predictive models for business processes,
so people and systems can make the right decisions.
Key Features:
Machine learning, scoring, data mining, deployment at scale,
non-linear and iterative, automation and integration
IBM SPSS Statistics
Advanced statistical analysis and reporting for
deep insight into your business problems.
Key Features:
Ad-hoc analysis, hypothesis and model testing, data preparation,
data understanding, descriptive statistics, statistical analysis
Predictive Analytics
Why IBM?
Deploy insights into business processes
Build and deploy predictive models directly into your business processes.
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Hands-on predictive analytics
Easy to use, powerful tools of all phases of analytical projects.
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Full breadth of analytics techniques
Use multi-faceted predictive analytics capabilities in a single solution.
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Embrace and extend open-source
Amplify the power of your analytics without losing control with R, Python and more.
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Deploy insights into business processes
Predictive analytics has been shown to transform professions and industries through better use of data. Yet for some organizations the promise of predictive analytics is often hindered by an inability to turn insights gained into business value. IBM provides not only the means to create insight, but the ability to deploy directly into business processes. When an organization is able to deploy predictive intelligence at the point of impact, the value of analytical projects are amplified and the promise of predictive transformation can be realized.
Hands-on predictive analytics
Organizations struggle to adopt advanced analytics due to a marked skill shortage in expert analytical resources. Expert analysts don't always understand the business context driving the need for analytics. Business experts don't have the time to program their own analytics and find their usual tools just don't go far enough. IBM offers integrated tools that span every stage of the analytical process for all levels of competency. User-friendly products allow collaboration whether for survey data collection or for statistics and data mining. Predictive analytics are designed to grow analytical capabilities within the enterprise at a pace that makes sense for the user and the business.
Products:
Full breadth of analytical techniques
As business complexity and data availability increase, you need the right techniques to master new data and analytical challenges. IBM provides analytical techniques designed to tackle data, whether big or small. From data munging capabilities, big data-enabled algorithms and geospatial, entity, text and sentiment analytics to mathematical optimization, decision management and hundreds of native analytics functions-all are battle-tested by some of the most demanding analytics customers.
Embrace and extend open-source
New open source technologies have changed the landscape of advanced analytics. Data scientists have embraced R, Python, Spark™, Hadoop™ and are always looking for new ways to solve data. IBM products are meant to compliment, extend, and improve on open source technologies - not compete with it.
Related technology:
Take business intelligence into the future with predictive analytics
The Forrester Wave™: Big Data Predictive Analytics Solutions
Get to know IBM SPSS Predictive Analytics
An e-book from TDWI explaining why it's important to go beyond traditional reporting with predictive analytics.
Predictive analytics enable organizations to embed intelligence and insight.
Learn how predictive analytics software helps organizations use data in their daily decision-making to improve outcomes.
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