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What is Salford Predictive Modeler (SPM)?

The Salford Predictive Modeler® (SPM) software suite is renowned for its remarkable speed and accuracy in crafting predictive, descriptive, or analytical models. Featuring engines such as CART®, TreeNet®, and Random Forests®, along with innovative automation capabilities and unique modeling functionalities, SPM stands out in the realm of data analysis tools. This comprehensive suite encompasses a range of data mining technologies, including classification, regression, survival analysis, and methods for handling missing values, as well as data binning and clustering. SPM algorithms are invaluable in sophisticated data science applications, making them a cornerstone for analysts seeking to derive insights from complex datasets. The automation of model construction is significantly streamlined with SPM, facilitating a more efficient exploration and refinement process. Furthermore, the suite allows for the seamless integration of results from various modeling approaches into a single, cohesive package, enhancing the review process for users. This combination of features not only boosts productivity but also empowers data professionals to make informed decisions more effectively.

What is SAS Enterprise Miner?

Streamline the data mining workflow to accelerate the development of models and uncover key relationships while identifying the most impactful patterns. This process significantly shortens the time needed for data miners and statisticians to build effective models. An intuitive self-documenting process flow diagram environment illustrates the entire data mining methodology, ensuring optimal results. Additionally, it offers a broader selection of predictive modeling techniques compared to any other commercial data mining software on the market. Why accept anything less than superior tools? Business professionals and domain specialists lacking extensive statistical knowledge can effortlessly create their own models using SAS Rapid Predictive Modeler. Its easy-to-navigate interface leads them through a series of essential data mining tasks. The analytics results are displayed in clear charts, providing the transparency necessary for better decision-making. Harness advanced algorithms and industry-specific techniques to craft exceptional models. Moreover, validate the accuracy of outcomes through visual assessments and validation metrics, which guarantee a reliable modeling experience. This all-encompassing approach not only boosts model effectiveness but also equips users with the confidence to make well-informed decisions. Ultimately, embracing these innovative methodologies fosters a data-driven culture within organizations.

Media

Media

Integrations Supported

Integrations Supported

SAS Data Loader for Hadoop
SAS MDM

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Minitab

Date Founded

1972

Company Location

United States

Company Website

www.minitab.com/en-us/products/spm/

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/enterprise-miner.html

Categories and Features

Data Mining

Predictive Modeling

Machine Learning

Not specified

Predictive Analytics

Not specified

Categories and Features

Data Science

Not specified

Predictive Analytics

Data Mining
Modeling & Simulation

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Modeller

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