We have data on 45 companies that use Salford Predictive Modeler. The companies using Salford Predictive Modeler are most often found in United States and in the Banking industry. Salford Predictive Modeler is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Salford Predictive Modeler usage goes back as far as 3 years and 7 months.
|University of California-Los Angeles||ucla.edu||United States||>1000M||>10000|
|M&T Bank Corporation||mandtbank.com||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 12,500 technology products, including Machine Learning. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Machine Learning category, Salford Predictive Modeler has a market share of about 0.2%. Other major and competing products in this category include:
Salford Predictive Modeler software suite is a highly accurate and ultra-fast analytics and data mining platform for creating predictive, descriptive, and analytical models from databases of any size, complexity, or organization. This suite of data mining tools includes Salford Systems' flagship products of CART, MARS, TreeNet, and Random Forests. The SPM software suite's automation accelerates the process of model building by conducting substantial portions of the model exploration and refinement process for the analyst.
Looking at Salford Predictive Modeler customers by industry, we find that Banking (18%), Higher Education (9%) and Computer Software (7%) are the largest segments.
74% of Salford Predictive Modeler customers are in United States.