It's a simple concept and many large enterprises will recognize the power of blending behavioral data with transactional and CRM data. Some may have already landed log files into their big data environment (whether that's GCP, AWS, Azure, Cloudera, or on-premise Hadoop), however it's unlocking the hidden behavioural context in this data which remains the biggest challenge. Being able to create a unified schema and ID graph as well as blend all sources in the privacy and security of your existing architecture is where SYNTASA will start to add value fast - by speeding up the process of transforming data into real-time intelligence and ensuring this remains robust and scalable. Next, applying AI Assisted use case models allows you to create your own actionable intelligence hub. These use cases are limitless but often start with: propensity scoring, content/product recommendations, call centre deflection, multi-channel attribution, and omni-channel customer journey analytics.