Real-Time Streaming
Analytics on data in motion
Trigger Based
Event patterns that require action
Omni-Channel
360° view of customer’s real-time activity
Emergent Context
Real-time activity, location, browse, weather, traffic
Event-Driven
Interact with customer events vs a timetable
Instant Interaction
Response time in milliseconds
Aggregate vs. Individual Data
Individual activity streams to enable action
Machine Learning
Machine learning on event patterns
Open Data Platform
Data mashup on emergent and existing contexts
Front-End Data Analytics
Analytics on emergent context and real-time activity streams
