It follows Digital and Data-Driven approach, consistent flow of data throughout product engineering lifecycle, combines operational data with analytics to extend product value. Increase customer satisfaction by creating new business models. Operational Performance Feedback using Proactive approach to derive meaningful insights with Continuous engineering.

It involves decentralized networks, third-party partnerships with enterprise, risk revenue streams, Microservices Architecture, adoption of Agile and DevOps, Containerized environments and Management, Serverless Computing, Outcome as a Service(OaaS), Cloud Computing, Social Media Networks, Digital Ecosystems.

It involves Interaction, Engagement, and Transaction with brands, Hyper personalized and contextual Customer Engagement, Customer Identity and Access Management, Instant Gratification, review and optimize digital assets, Customer-Centricity, Self-Service Analytics, seamless Multichannel Experience, Customer Lifetime Value Predictions.

It involves intelligent interconnection between devices, Ambient Commerce, provides Platform Infrastructure, pre-emptive actions, messaging applications, demand for self-service, AI-powered Customer Engagement, focus on customer outcomes, IoT integration, Distributed Ledger Technology.