Explore the advanced analytics platform, Part 6, Dive into orchestration with a combination of SPSS, Operational Decision Management (ODM), and Streams using care and fraud management case studies

Explore patterns for rapid detection and prevention of problems in high velocity data

From the developerWorks archives

Dr Arvind Sathi, Mathews Thomas, Mr Alan Emery, Ms Neena Sathi, and Ms Janki Vora

Date archived: May 15, 2017 | First published: September 05, 2014

An essential component of any analytics platform is the ability to analyze large volumes of data at high velocity that results in real-time actionable steps. Often, intelligent processes require attention and focus on a few "out of range" observations midst a much larger field of "normal" observations. The real-time action requires selecting, focusing, and investigating these observations while dealing with data-in-motion. At the same time, we must understand historical trends and adapt to the changing definition of "out of range". This article describes the D4 (Discover, Detect, Decide, Drive) pattern, which permits high-speed analytics with rapid execution while under extreme data velocity and volume requirements. We then introduce two example use cases, identify architecture components, and discuss some integration design considerations common with the D4 pattern.

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ArticleTitle=Explore the advanced analytics platform, Part 6: Dive into orchestration with a combination of SPSS, Operational Decision Management (ODM), and Streams using care and fraud management case studies
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