StreamAnalytix enabled a large US based auto insurance provider to build an end-to-end real-time big data analytics application for driver profiling and risk assessment. The application enabled a new usage based insurance offering.

• Enabled an individual risk assessment model based on real-time analytics of incoming streaming data around; driving behavior, vehicle usage and performance data, and third-party data like weather and driving conditions
• The driver profiling and vehicle risk assessment enabled a highly personalized pricing and discounting options
• Additionally, enabled remote vehicle diagnostics and predictive maintenance services

Identify outliers through real-time analytics of transactional data, log data, customer behavior, and other historical data. Gain actionable insights in a wide variety of application domains such as: fraud detection, network traffic management, predictive healthcare, energy monitoring and many more.

A few examples include:

• Analyze log data to detect network anomalies like suspicious behavior or patterns from malicious users/applications or faulty devices
• Predict and prevent loss of a customer by identifying behavior patterns leading to a possible churn
• Detect fraudulent patterns in massive stock market streaming data sets by using unsupervised learning methods, to identify anomalies such as market manipulation and price rigging

A tier 1 contact center deployed a new real-time call center analytics and infrastructure monitoring system with StreamAnalytix. It allows unified real-time analytics of events that are scattered across different media networks and geographies

• Enables tracing of the complete call flow, and raising service alerts based on real-time data analytics
• Allows call stitching in real-time (view, sort, filter and zoom into a call), and identifying top 10 most dominant call paths
• Real-time sentiment analysis of multi-lingual text data, including: alerts on emails and conversations
• Predicts future pricing models and requirements