Download Data Mining in the Enterprise: How to Integrate Data Mining with ETL and Business Intelligence

SAS Global Forum 2007
SAS Presents
Paper 278-2007
Data Mining in the Enterprise: How to Integrate Data Mining with
ETL and Business Intelligence
Mary-Elizabeth Eddlestone, SAS Institute Inc.
ABSTRACT
Data mining is most effective and yields the greatest returns on investment when it is part of an integrated information
delivery strategy. SAS®9 provides unprecedented levels of integration between data mining, data management and
business intelligence. SAS® Enterprise Miner™ is seamlessly integrated with SAS® Data Integration Studio. This
avoids the headaches involved with data extraction, cleansing, and transformation. You’ll have access to the data you
need, when you need it, with the flexibility to go back and restructure data as needed to accommodate the business
problem at hand. Moreover, with the SAS® Intelligence platform, data mining models can be scored in SAS Data
Integration Studio and, with the flexibility of SAS® Stored Processes, model scoring can be used throughout the
enterprise, whether in SAS® BI clients such as SAS® Enterprise Guide® or SAS® Web Report Studio, but even
Microsoft Office clients!
This technical session is designed for data managers and data miners who will discover new opportunities for
collaboration via SAS integration. This collaboration offers potential for increased consistency, productivity and
control, and decreased costs and time-to-information. A home equity loan application scoring example is used to walk
through each step in the process.
No paper was submitted for publication.
CONTACT INFORMATION
Mary-Elizabeth Eddlestone
SAS Institute Inc.
[email protected]
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