Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.
Customer & Marketing Strategy
Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.
Digital Engineering
Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.
Station Studio
Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.
Supply Chain & Industry 5.0
Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.
Sustainability
Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.
Physical AI
Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.
Next-Gen Infrastructure
From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.
Siloed, legacy data platforms limit AI performance and trust.
WHY DATA MODERNIZATION FOR AI AT SCALE?
Data modernization consolidates, standardizes, and governs data across R&D, manufacturing, clinical, and commercial domains.
With a unified data fabric, organizations unlock reliable AI at scale while ensuring compliance and security. This delivers AI begins with data—modern foundations, real impact.
Key benefits
Faster access to trusted data
Improved AI model performance
Migration from legacy platforms
Data ownership and governance
How NTT DATA helps
01
Data strategy and architecture design
02
Data fabric and lakehouse implementation
03
Master data and metadata governance
04
Security, privacy, and compliance
05
Enablement for analytics and AI teams
Proven impact
Data foundations strengthened
Results that matter
Pharma & Life Science organizations achieve measurable improvements
Data availability
Increased access
Analytics cycle time
Reduced delays
AI readiness
Improved maturity
Build AI-ready data foundations across the pharma value chain