Predictive Analytics

Advanced Analitycs

Predictive analytics is the use of advanced analytical techniques that leverage historical data to discover real-time insights and to predict future events. The use of predictive analytics is a key milestone in your path to analytics, a point of confluence where analytics classic statistician meets the new world of artificial intelligence (IA). Predictive analytics can help you transform the way you operates your business. But how do you know when is the right time to adopt these practices?
The answer is simple: the time is now. Convergence without precedents of intuitive tools, new predictive techniques and hybrid cloud deployment models, make analytics predictive and modeling are more accessible than ever. For the first time, Organizations of all sizes can have the tools to include predictive analytics in your business processes and to take advantage of AI at scale. Companies now have the power to extract the value of "data previously unexplored "dark ones, including everything from text without process up to geolocation information.

Benefits
  • 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, geospatial analysis and predictive analytics. Understand data, analyze trends, Predict and plan to validate hypotheses and draw accurate conclusions.
  • Create data models
  • The IBM SPSS Modeler solution can help you take advantage of data assets and modern applications, with complete algorithms and models that are ready to use righ now. Learn about the IBM-commissioned Forrester consulting tool to learn about how to increase data science productivity and get a quick return on investment.
  • Train and implement models for AI
  • IBM Watson® Studio Desktop is a leading data science and machine learning platform built from the ground up for an AI-based business. Simplify the experimentation process until implementation. Accelerate data exploration and development and training of Models. Scale data science operations throughout the lifecycle.

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