Sap Se

Sap Ag

Daniel Ricketts

Alexander Dreiling

Shane Bracher

Mark Daniel Holmes

Asadul Islam

Hoyoung Jeung

Glenn Neuber

Fabian Eberhardt

Liam Mischewski

Philipp Heltewig

Karsten Ploesser

Michael McClenaghan

Xiaohua Cao

Priya Vijayarajendran

Kathrin J Hettel

Kathrin J Fleischmann

Implementations are directed to identifying potential churn of a user of one or more computer-implemented systems provided by an enterprise. In some examples, actions include identifying potential churn of providing a plurality of event profiles based on historical data, each event profile being representative of interactions of users with the enterprise and corresponding to churn of the users, at least one event profile being representative of an interaction of users with the one or more computer-implemented services, providing a pulse of the user at least partially based on historical data associated with the user, and one or more event profiles of the plurality of event profiles, and determining that the user is at-risk of churn based on the pulse of the user and a risk index value, and in response, displaying an indication that the user is at-risk of churn in a graphical user interface.

Real-time system to identify and analyze behavioral patterns to predict churn risk and increase retention

Customer churn risk scores are based on a multi-variable churn risk model relating customer and customer account characteristics to a risk of customer churn. A computer-implemented method of generating and presenting churn risk scores of customers of a telecommunication provider involves analyzing, on an in-memory database platform, customer call data records and customer records to calculate a churn likelihood value, an influence factor value, and an average spend value for each customer. The method assigns a churn risk score to each customer according to the model using the calculated churn likelihood value, the calculated influence factor value, and the calculated average spend value as input to the model. The churn risk scores for one or more customers are displayed visually on an interactive computer-user interface (UI).

Churn risk scoring using call network analysis

An enhanced widget composition platform, in which code is automatically generated based on receiving a selection of at least a first service and a widget engine via the web-based widget composition platform, the code, when invoked by the selected widget engine, implementing a widget that is operable to communicate with the first service.

Enhanced widget composition platform

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Toowong, Australia

Daniel Ricketts