Data preparation
Includes interactive data preparation tools that make it easy to apply required data transformations, derive new variables and run intelligent feature selection methods, such as variable selection based on trees and random forests.
Tired of trying to provide data, analyses and reporting capabilities to different users? This comprehensive BI software integrates the power of SAS, role-based interfaces and Microsoft Office so everyone can make fact-based decisions.
Customizable model templates
Provides out-of-the-box model building templates that can be customized and shared across projects and users.
Self-service machine learning techniques
Includes linear regression, logistic regression, decision trees, random forests, generalized linear models, gradient boosting, neural networks, Bayesian network and support vector machines.
Champion model identification
Uses a variety of interactive, customizable assessment techniques to automatically select the champion model for each segment.
Model exception identification
Provides standardized, easy-to-understand reports that pinpoint issues with models and identify the best models with high confidence. You can then easily recognize underperforming models.
Model retraining
Lets you retrain models over time using new data and variables, including REST endpoints.
Scalable processing
Runs analytical procedures on a single machine, via grid computing or in-memory processing.
Flexible model deployment
Lets you deploy models in database or in Hadoop to score new data using SAS Scoring Accelerator.
Add-on to SAS® Enterprise Miner™
SAS Factory Miner runs as an add-on to SAS Enterprise Miner.
Build and retrain hundreds of predictive models across multiple segments – quickly and easily. Then automatically pick the best model for each segment.
Be a driver for success.
IT managers deploying SAS Enterprise BI Server can make use of previous investments, integrate BI capabilities quickly into existing environments and get decision makers the information they need. When they need it. This, with the added benefit of freeing resources from tedious tasks to focus on more strategic projects, ensures that IT is a driving force behind organizational success.
Automate model development.
Managers looking for dashboards. Groups wanting to view or build reports from a web-based solution. Analysts needing advanced data exploration. IT staffs deploying, managing and maintaining enterprise solutions. A wide breadth of BI capabilities meets the needs of all types of users. You eliminate the need to maintain multiple BI solutions and the headaches of constantly integrating different technologies.
Explore new ideas faster.
Apply machine learning and predictive analytics techniques to large, complex data sets, and get the results fast. If a model fails, you can try again quickly using different inputs or ideas. As variables change or new variables are found, you can test them without having to rebuild the entire data mining flow or challenge an existing set of algorithms.
Put models into operation quickly.
Deploy champion models in different production environments with just the click of a button. SAS Factory Miner automatically generates complete scoring code – including all necessary data prep and transformation steps. And retraining models is easy because all assets related to model development and deployment are centrally managed and accessible via REST endpoints.
Explore More on SAS® Factory Miner and Beyond
WHITE PAPER
Learn how the SAS Analytics Life Cycle can guide you through the iterative process of going from raw data to predictive modeling to automated decisions, faster.
REPORT
Learn why Gartner named SAS a Leader in the Magic Quadrant for Data Science Platforms.
INSIGHTS
Get the lastest news, views and insights on analytics from the brightest minds in the business.
Related Products
Check out these products related to SAS® Factory Miner, all built on the powerful SAS® Platform.
SAS® Enterprise BI Server
Simplify and speed business intelligence deployment.
Tired of trying to provide data, analyses and reporting capabilities to different users? This comprehensive BI software integrates the power of SAS, role-based interfaces and Microsoft Office so everyone can make fact-based decisions.
Benefits
Be a driver for success.
IT managers deploying SAS Enterprise BI Server can make use of previous investments, integrate BI capabilities quickly into existing environments and get decision makers the information they need. When they need it. This, with the added benefit of freeing resources from tedious tasks to focus on more strategic projects, ensures that IT is a driving force behind organizational success.
Consolidate vendors.
Managers looking for dashboards. Groups wanting to view or build reports from a web-based solution. Analysts needing advanced data exploration. IT staffs deploying, managing and maintaining enterprise solutions. A wide breadth of BI capabilities meets the needs of all types of users. You eliminate the need to maintain multiple BI solutions and the headaches of constantly integrating different technologies.
Get consistent data and reliable results.
Centrally managed data, business rules, security and shared metadata produce consistent information. Reliable results that can be easily traced back to the source. Using consistent and constantly updated information alleviates the unpleasant and repetitive task of validating which reports or results are correct. Everyone uses the latest view of centralized data, so everything stays in sync.
Access SAS® from Microsoft Office.
Business users love to use Excel. Why not let them? Give your business users access to SAS Analytics and business intelligence from within their Microsoft Office applications. So it's easy for them to get the data they need, perform queries and analysis, and create reports. They can also use familiar Microsoft Office functionality to distribute results to others.
Screenshots
Features
- Portal and customizable dashboards.
- Business visualization.
- Web and desktop reporting.
- Mobile business intelligence.
- Microsoft Office integration.
- Query and analysis.
- OLAP storage and data exploration.
- Business metadata management.
- Flexible deployment options.
- Guided analysis and model development.
- Applications development.
Technical Information
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