Reduce IoT Cycle Times
✓ Highly optimized decision engine can process
> 1000 records per second on a single watt SBC
✓ Operates in a resource constrained / low bandwidth environment
✓ Proprietary execution algorithm accelerates performance far beyond simple code optimization
✓ Meltdown Prevention, tune logic coupling and cohesion with real-time decision making
✓ Simple interfaces allow non programmers to rapidly adjust logic and see real time results at the edge using our decision engine
✓ Human configured decisions combined with AI insights to provide new levels of automation
Watch How Phizzle’s IoT Edge Decision Engine Changes the Landscape For Real-time Anomaly Detection with Transportation and Connected Vehicles
Connect Siloed Data for a True 360 View of Customer Behavior
The Identity Resolution Algorithm and APIs consolidate records from any source like Social Media, IoT, and CRM into a unique profile. Sources and fields can be prioritized to create the most accurate possible profile. Use with our other solutions to ingest data at massive scale and gain deep insights.
Consolidate multiple records into a single consumer identity. Gain a 360 view of behavior for personalized engagement, more accurate customer segmentation, and increased marketing efficiency and ROI.
Quick API based integration of existing ecosystem of data sources (CRM, POS, Social, ERP, and more) into one unified data warehouse (such as SAP HANA in memory database).
Unified Source of Data
Access all data and data relationships in a single data warehouse.
Each Add Activity API call will compare activity data and profile against millions of warehouse data records in order to determine if activity can be merged or linked.
Customize prioritization of data and fields to fit business needs.
API Based Data Retrieval
API based data retrieval from in-memory database for use with 3rd party data visualization software
Link Different Types of Data
Enables dynamic activity data to be linked with more static consumer profile data.
Read how we saved $1.5 million for an NBA Team
Like many organizations, NBA Team Charlotte Hornets have a siloed data landscape. Chris Zeppenfeld, a technology pioneer in the sports industry, desired a holistic picture of their customer data in order to maximize revenue and enhance the customer experience.