• Traditional database design
• Unstructured data lake architecture and planning
• Communication protocol formatting
• Real-time service architecture

Design information systems that exceed SLA requirements and consistently deliver top notch application performance. Achieve in-depth insights and reporting for critical backend components including:

• Platform throughput (server SLA, resource monitoring, execution runtimes)
• Dynamic environment monitoring (cloud instance supervision and auto-scaling)
• Data process optimization including flowchart efficiency, automated procedures

• Input (staging the data for analytics input – processes, formatting, frequency, checks, infrastructure)
• Measurement (model input, logical processing, categorization, procedure automation)
• Attribution (model output, insights qualification, customer engagement)
• Distribution (information share including reports, standardized views, iterative planning)

• Data architecture and processes supporting automated QA testing processes
• Report development and custom views for various user groups and lines of business
• Training on rule integration and use of our custom product Campaign QA
• Data sourcing, format checking, and validity
• Compliance, CASL/GDPR – audit trail enablement, preference center implementation and, retroactive ticket investigation
• Target segmentation for both real-time and outbound channels (contact strategy verification)