Customer 360° Digital Assistance
The customer had fragmented data from many sources making it impossible to synthesize and get a viewpoint of their customer.
The customer needed to respond quickly and intelligently to turn data into action.
Present multiple perspectives of the customer based on unique users and use case context.
Connect all data types and managed billions of records across all data sources.
Manage complex relationships between individuals, households, products, and services.
Resolved customer data issues and created relationships using advanced machine learning algorithms.
Inferred customer attributes from unstructured data using Natural Language Processing.
Visualized relationships, households and complex B2B hierarchies using a graph data store.
Presented multiple perspectives of the customer based on user and use case context.