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White Paper

Three Steps to Put Predictive Analytics to Work

About this paper

This paper by James Taylor, CEO of Decision Management Solutions, discusses how to focus on decisions to ensure the right problems get solved and what kind of analytic technologies can help achieve this. Organizations are increasingly adopting predictive analytics. Many use thousands of analytic models each day in real-time decision making and in operational, production systems. However, many analytic teams rely on approaches and tools that do not scale to the level needed. These teams need a repeatable, efficient process for creating and deploying predictive analytic models into production. They must operationalize analytics. This paper discusses the three elements needed to operationalize analytics: a collaborative environment for problem definition, a repeatable, large-scale process for developing analytic models, and a reliable architecture for deploying and managing models in production systems.

Om SAS

SAS Institute är världens största privatägda mjukvaruföretag med lösningar för avancerad analys. SAS Institute har sedan 1976 erfarenhet av att utveckla lösningar och metoder som låter företag och organisationer lära av sin historia, mäta och kommunicera pågående aktiviteter och skapa insikt om framtiden. Världen runt har SAS Institute totalt 50 000 kundinstallationer, bland annat i 92 procent av Fortune 500-företagen. I Sverige startade SAS Institute AB år 1986 och har idag 150 anställda på kontoret i Stockholm. Bland de svenska kunderna finns landets mest betydande företag och organisationer. För mer information besök: www.sas.com/sweden

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