PwC helps organizations modernize data platforms and pipelines using AI-native engineering across cloud ecosystems, so you can turn data into insight and action at enterprise scale.
Data modernization
Overview
Legacy data platforms often struggle to keep pace with today’s analytics, AI, and business demands. PwC’s Data Modernization offering helps organizations evolve data architectures, pipelines, and platforms across leading cloud environments. Using AI-native engineering and industry-informed design, we help build scalable, secure data foundations that support business decision making, advanced analytics, automation, and data readiness for organization’s AI aspirations.
Market trends
Capabilities
- Enterprise analytics modernization
- ERP and core system transformation
- AI and advanced analytics enablement
- Cloud migration and optimization
Enterprise analytics modernization
Modernize analytics platforms to improve access to trusted data, enable self-service reporting, and support advanced insights across business functions.
ERP and core system transformation
Align data modernization with ERP and core system initiatives to support consistent, scalable data foundations across enterprise transformation efforts.
AI and advanced analytics enablement
Prepare data environments for AI and machine learning by modernizing pipelines, architectures, and data quality practices.
Cloud migration and optimization
Migrate and enhance data platforms in the cloud to improve performance, scalability, and cost transparency while supporting hybrid and multi-cloud environments.
Use cases
PwC helped a large healthcare provider design a holistic migration roadmap to move thousands of servers from on-premises data centers to the cloud. The effort established a secure landing zone, defined target architecture and operating models and positioned the organization to modernize at scale in support of its broader digital modernization efforts.
PwC helped a leading specialty chemicals company modernize its data and analytics platform using Microsoft Fabric. By building scalable data products, connecting cross-functional data and embedding governance, the initiative established a stronger data foundation to support self-service analytics and future AI use cases.
PwC helped a leading health insurer embed AI-driven transcription and summarization into its contact center operations as part of a broader modernization initiative. The solution streamlined documentation, supported more consistent quality oversight and created a foundation to expand AI across customer and provider interactions.
PwC helped a large Insurance Administrator organization provide innovative insurance and risk management solutions to its members through holistic data modernization effort. Solution entailed creating prioritized loss prevention recommendations and assigned for execution. This targeted enhancement significantly reduces the likelihood of catastrophic losses, potentially preventing millions of dollars in claims.
Data modernization is the foundation for analytics and AI at scale. Organizations need data platforms that can evolve—supporting insight, automation, and decision-making as business needs change
Anbu ManiPrincipal, Data Engineering and Analytics Offering Leader, PwC US
