Data Mining and Text Mining
Data mining is the process of selecting data, exploring data and building models using vast data stores to uncover previously unknown patterns. Forward-thinking organizations today are using SAS data mining software to detect fraud, anticipate resource demands, increase acquisition and curb customer attrition.
Additionally, with SAS text mining software, you can quickly determine key information contained in large document collections, and text-based information can be integrated with structured data for enriched predictive modeling endeavors.
With SAS data and text mining software, you can:
- Build a model of the real world based on data collected from a variety of sources, including corporate transactions, customer histories and demographics, and external sources.
- Use the model to produce patterns in the information that can support decision making and predict new opportunities.
- Apply such analysis techniques to text-based documents.
- Produce new knowledge to better inform decision makers before they act.
Key benefits
- Seek and retain your most profitable customers. By using demographic and customer data, you can develop lifelong relationships with your most profitable customers, anticipating and fulfilling their needs.
- Segment markets for a targeted approach. With targeted marketing campaigns you can dramatically increase response rates, analyze clickstream data and sharpen sales strategies.
- Predict the future and identify factors to secure desired effects. By applying data mining techniques, organizations can anticipate problems before they occur, forecast resource demands, and fully exploit data about buying patterns to gain a greater understanding of consumer motivations.
SAS' complete data mining solution
Enterprise Miner, our enhanced data mining software, combines a rich suite of integrated data mining tools with unprecedented ease of use, empowering users to explore and exploit corporate data for strategic business advantage all in a single environment.
SAS Text Miner expands our data mining capabilities to include vast deposits of textual data. Integrating text-based information with structured data enriches your predictive modeling capabilities and provides new stores of insightful and valuable information for driving your business and research initiatives forward.
SAS Model Manager streamlines the process of creating, managing and deploying analytical models. It provides an integrated environment for tracking and monitoring model performance throughout the model life cycle. As models are tested and compared, performance benchmarking reports are generated. As they are deployed, performance metrics are pushed across reporting channels.
Our comprehensive data mining solution includes services and training to help organizations get started right away exploring large quantities of data to discover relationships and patterns that lead to proactive decision making. Along with SAS consultants, our Quality Partner Program and strategic partnerships with leading consulting organizations are available as resources to meet your organization's specific needs.



