Data Mining and Text Mining
From raw data to smarter business decisions
Every organization accumulates huge volumes of data from a variety of sources on a daily basis. Data mining is an iterative process of creating predictive and descriptive models, by uncovering previously unknown trends and patterns in vast amounts of data from across the enterprise, in order to support decision making. Text mining applies the same analysis techniques to text-based documents. The knowledge gleaned from data and text mining can be used to fuel strategic decision making.
“SAS provides a solid and efficient linkage between our quantitative expertise and our clinical expertise. It allows us to take the data and to quickly and efficiently produce models that can be implemented to allow our clinicians to be with the right person at the right time.”
—Adam Hobgood
Director of Statistics, Center for Health Research, Healthways
Healthways
Components of Data Mining and Text Mining
- Data mining – Go from raw data to accurate, business-driven analytical models with a seamless, efficient process.
- Scoring acceleration – Maximize the performance and accuracy of your analytic models.
- Text mining – Uncover key text-based information in large document collections, and integrate that information with your structured data.
For customers who are interested in in-database analytics with a Teradata data warehouse, be sure to learn about SAS Analytic Advantage for Teradata.
How SAS® Is Different
Only SAS offers a rich suite of integrated data mining tools that provide:
- Unprecedented ease of use.
- Ability to explore and exploit corporate data for strategic business advantage – all in a single environment.
- Reduced time to decisions and a more accurate organizational view.
- Services and training to help organizations get started right away.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
