Unlock the value in legacy data stores and improve time to market with faster insight delivery through AI-enabled data engineering.
The Cognizant Data Modernization Method is the fastest way to architect a modern data backbone while operating within a framework of ethical data governance and privacy compliance. It enables organizations to construct a rapidly accessible and compliant data ecosystem.
Our reference model enables cloud or on-site capabilities with
pre-engineered platform components, tools and accelerators to accelerate data monetization. It provides flexible data structures and streamlined data architecture to quickly turn data resources into insightful, actionable intelligence.
Our flexible resourcing model allows for rapid scaling of cross-functional client teams—both physical and virtual—within a collaboration center that inspires creativity and fosters innovation.
Organizations rely on Cognizant’s straightforward, three-step methodology to implement quickly while lowering risk.
We assess the current data landscape, identify gaps, define strategy, blueprint architecture, roadmap and prioritize use cases aligned to business goals.
We accelerate development by implementing data architecture, data privacy frameworks and functions. This enables the business to connect to applications and migrate data to new systems.
We move data applications into the production environment and deploy proprietary workbenches to monitor data processes. Continuous improvement processes are embedded to ensure agility and optimum performance.