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Earnix Version 8 to Introduce R Integration and Machine Learning Capabilities
New version enables banks and insurers to make faster analytical decisions and immediately operationalize them online
Tel Aviv, Israel – May 10, 2016 – Earnix, a leading provider of integrated customer analytics solutions for financial services, today announced the release of Earnix version 8, the newest edition of its software solution. Earnix V8 delivers a new level of sophistication in modeling and decision analytics with the ability to directly operationalize these decisions online.
Earnix V8 integrates models built in the R and Python statistical environments into the Earnix optimization framework. This new capability enriches the Earnix decision making environment with advanced machine learning algorithms and mathematical tools.
The new version introduces a state of the art graphical user interface, designed to improve the user’s concentration while reducing cognitive fatigue over long periods of time. The new interface also allows for better management, access and organization of a large number of models.
Additional new features of V8 include significant improvements to modeling and decision optimization, such as:
- Model documentation: all statistical models can be reported at a click of a button for peer and managerial review as well as for governance and archiving. The model reports can be configured to any level of detail required.
- Project sharing: any model or analytical object can be developed and managed independently and then seamlessly shared across the organization. This allows different teams to collaborate and easily maintain predictive analytics work in a shared workspace.
- Online scoring and pricing: operationalizing decisions within the Earnix real-time environment is enabled through a governed process including testing, managerial approvals, alerts, configured business logic and scheduled deployment. The version introduces faster and more granular updates of the released operational models.
“Earnix V8 represents an important step in integrating our platform with open source modeling software, leveraging Machine Learning algorithms for more informed decisions,” said David Schapiro, Earnix CEO. “This version also significantly enhances a business executives’ analytical-independence, putting them in the driver’s seat to predict decision outcomes with accuracy and clarity.”
Earnix V8 is immediately available, while some features described above will be available in sequential minor versions.
Earnix integrated customer analytics software empowers financial services companies to achieve optimal business performance through data science and predictive analytics. The Earnix analytical solutions drive superior product, pricing and marketing decisions, while ensuring alignment with changing market dynamics. Earnix combines predictive modeling and optimization with real-time connectivity to core operational systems, bringing the power of analytic-driven decisions to every customer interaction. For more information visit www.earnix.com
Aviv Cohen, VP Marketing