Earnix Strengthens its Decision Making Environment with the New Update
FREMONT, CA: Integrated customer analytics solution provider, Earnix recently revealed the new version of its flagship solution. Earnix Version 8 incorporates models built in the R and Python statistical environments into the Earnix optimization framework and offers a new level of experience in modeling and decision analytics.
With the new update, Earnix has upgraded its decision making environment with advanced machine learning algorithms and mathematical tools. The new version has a state of the art graphical user interface, specifically designed to fine-tune the user’s concentration, while minimizing cognitive fatigue over a long run. “Earnix V8 represents an important step in integrating our platform with open source modeling software, leveraging Machine Learning algorithms for more informed decisions,” says David Schapiro, CEO, Earnix.
The broad set of Earnix V8 features include remarkable developments to modeling and decision optimization include: modeling documentation, project sharing and online scoring and pricing.
Modeling documentation: The new version offers one click option for peer and managerial review coupled with governance and archiving. It legitimates the model reports to be configured to any level of detail required and allows all statistical models to be reported at a single click of the button.
Project sharing: Version 8 has an easy project sharing option for the seamless sharing of analytical objects or model report across the organization. It helps different teams of the company to collaborate and work together to easily maintain predictive analytics in a shared workspace.
Online scoring and pricing: The new version offers online scoring and pricing with a faster and more granular update on the available operational models.
“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,” adds David. Earnix constantly innovates with the aim to better deploy the predictive analytics in the banking arena and offer optimized business decisions based on predictive customer risk, behavior and conversion models.