SAS Launches Fast New Data Analytics Modeling Tool
Factory Miner sports a Web-based, drag-and-drop interface that automatically builds and revises very large numbers of models that predict future business outcomes.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.