SAS Launches Fast New Data Analytics Modeling Tool

SAS Launches Fast New Data Analytics Modeling Tool
Jun 16, 2015
2 minute read
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SAS, long a kingpin of the data analytics software and services business, is upping the ante in its modeling department.

The Cary, N.C.-based company on June 16 announced SAS Factory Miner, a new-gen tool designed to speed up the productivity of data science teams. Factory Miner, set to ship in July, sports a Web-based, drag-and-drop interface that automatically builds and revises very large numbers of models that predict future business outcomes.

Using this tool, data scientists can pinpoint poorly performing business models, then investigate and improve them. They can also share model templates, results and best practices to improve collaboration among teams. These data models also can help retailers identify the best customers for a marketing campaign, for example, or health insurers uncover fraudulent claims.

Factory Miner uses prebuilt or customized templates that can interactively compare models to find the best performers. Lesser performing models can be pinpointed and improved. Well-performing models can boost business results by controlling customer churn, personalizing offers, predicting demand, managing risk and other actions.

The software includes automated model development, selection and deployment capabilities, and machine learning, SAS said.

Other key features:

*SAS Forecasting now includes a new Web-based SAS Forecast Server client. This combines the functions of two existing clients while adding new functionality: demand classification segmentation for targeted modeling; multi-stage modeling; exception rules to track series that meet certain criteria; forecast accuracy tracking across iterations, and parallel execution of modeling tasks.

*SAS Enterprise Miner has a new Bayesian Network node and other enhancements to its machine-learning capabilities, as well as improved Random Forest, Support Vector Machines and Decision Trees.

*SAS Contextual Analysis has added support for 13 document languages, improved rule writing and interactive rule testing, and enhanced sentiment analysis controls.

Factory Miner is part of an overall update to SAS Analytics, a software lineup of tools that provide data mining, statistical analysis, forecasting, text analytics, optimization and other data science functions.

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Chris Preimesberger

Chris J. Preimesberger is Editor Emeritus of eWEEK. In his 16 years and more than 5,000 articles at eWEEK, he distinguished himself in reporting and analysis of the business use of new-gen IT in a variety of sectors, including cloud computing, data center systems, storage, edge systems, security and others. In February 2017 and September 2018, Chris was named among the 250 most influential business journalists in the world (https://richtopia.com/inspirational-people/top-250-business-journalists/) by Richtopia, a UK research firm that used analytics to compile the ranking. He has won several national and regional awards for his work, including a 2011 Folio Award for a profile (https://www.eweek.com/cloud/marc-benioff-trend-seer-and-business-socialist/) of Salesforce founder/CEO Marc Benioff--the only time he has entered the competition. Previously, Chris was a founding editor of both IT Manager's Journal and DevX.com and was managing editor of Software Development magazine. He has been a stringer for the Associated Press since 1983 and resides in Silicon Valley.

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