Leverage the world’s leading predictive analytics software to identify trends, make predictions, and take action.
IBM SPSS Modeler
Discover patterns in historical data to predict future events, make better decisions and achieve better outcomes.
Take advantage of a complete solution — as an authorized reseller and certified IBM Business Partner, Beyond the Arc can provide SPSS software, training, and hands-on consulting
Get started quickly with visual analysis streams:
Use an intuitive graphical interface to visualize each step of the data mining process as part of a stream. Analysts and business users can easily add expertise and business knowledge to the process. All in a powerful predictive analytics platform that brings predictive intelligence to decisions with a range of advanced algorithms and techniques.
Gain insights across your data:
Discover insights and solve problems faster by analyzing structured and unstructured data. Access varied data from flat files, databases and big data environments such as Hadoop and Spark.
Choose from a range of methods:
Choose from multiple machine learning techniques, including classification, segmentation and association algorithms. Use scripting languages such as R, Python and Spark to extend modeling capabilities.
Choose your deployment:
Choose from on-premises, cloud and hybrid deployment options to deliver predictive intelligence through embedded services, business intelligence integration or simple reporting.
In Database Processing
SQL Pushback can push processing inside databases for enhancement performance, and in-database modeling is available for a variety of platforms.
Prepare data automatically:
Transform data automatically into the best format for the most accurate predictive models. Analyze data, identify fixes, screen out fields and derive new attributes with just a few clicks.
Use a single run to test multiple modeling methods, compare results and select which model to deploy. Quickly choose the best performing algorithm based on model performance.
Explore geographic data, such as latitude and longitude, postal codes and addresses. Combine it with current and historical data for better insights and predictive accuracy.
Support for open source technologies
Use R, Python, Spark, Hadoop and other open source technologies to amplify the power of your analytics. Extend and complement these technologies for more advanced analytics while you keep control.
Capture key concepts, themes, sentiments and trends by analyzing unstructured text data. Uncover insights in web activity, blog content, customer feedback, emails and social media comments.