This inventor holds 1 USPTO granted patent. Top assignee: The Boston Consulting Group, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Christian Claus Wagner-Binder and Financial Data Analytics
Introduction
Christian Claus Wagner-Binder is an inventor associated with Ludwigshafen, Germany. His patent work concerns financial data analytics integrated with customer relationship management systems.
Latest Patents
The supplied information lists one patent for Wagner-Binder: “Financial Data Analytics Engine Associated with a Customer Relationship Management System.” The invention describes methods, systems, and computer storage media for generating financial data analytics recommendations within a customer relationship management system.
The system can generate recommendations such as a lead suggesting a consumer solution, an alert about increased attrition risk, or an alert about increased default risk. It uses target variables related to financial products or customer relationships, applies modeling techniques and rules, and generates recommendations from a data analytics model. Feature variables are created by aggregating and transforming customer data, while machine-learning models identify patterns in that data. Recommendations can appear in a financial analytics interface alongside plain-text explanations.
Career Highlights
Wagner-Binder is associated with The Boston Consulting Group, Inc. The available information connects his work to the development of data-driven tools for financial analysis and customer relationship management. His listed patent count is 1 patent.
Collaborations
The supplied information names Kirsten Stiene Riemer and Markus Andreas Wiemann as coworkers. It does not specify their roles in the patent or describe the nature of their collaboration.
Conclusion
Christian Claus Wagner-Binder’s listed invention applies data analytics and machine learning to financial recommendations, risk alerts, and customer relationship management.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile