SAP Data Modernization Services.

Re-Engineering Data Foundations for Intelligent, AI-Ready Enterprises

From Legacy to Leading-Edge

Outdated architectures, disconnected systems, and high technical debt keep organizations from innovation. The cost is strategic.

YASH’s Data Modernization Services deliver a structured approach to replacing aging systems with high-performance, cloud-native, and AI-ready data ecosystems, ensuring every transformation decision is aligned with business impact.

Our Philosophy: MMO – Modernize. Migrate. Optimize.

Modernize – Designing for Agility and Future-Readiness

We dismantle architectural bottlenecks, replacing them with scalable, adaptable platforms:

• Transition from rigid warehouses to flexible lakes and lakehouses
• Rebuild metadata layers to enhance lineage, quality, and governance
• Enable real-time and batch ingestion pipelines with fault tolerance

Migrate – Transition Without Disruption

Our engineered migration frameworks ensure zero-compromise transitions:

• Accelerator-driven migration for both structured and unstructured datasets
• Automated metadata and schema porting across hybrid and multi-cloud environments
• Cutover strategies designed to minimize downtime and maintain business continuity

Optimize – Operating Lean, Scaling Smart

Once migrated, we embed intelligence into operations:

• Unified data access across enterprise sources
• Built-in observability and monitoring capabilities
• AI-powered automation for logging, governance, and cost management

Explore our exclusive offerings in Data and AI here.

AMURAA® – The Proprietary Advantage

AMURAA® is YASH’s own cloud-agnostic platform and the operational backbone for every modernization program.
Purpose-built for scale, it enables:

• Cloud-neutral deployment across AWS, Azure, and GCP
• Native support for DataOps, MLOps, and Generative AI workloads
• Real-time and batch ingestion with embedded quality checks
• Full-spectrum observability with cost and performance insights
• Secure, governed access with role-based controls

Impact at a Glance

Impact	Glance
40% Reduction in Modernization Costs	Automation-led refactoring and migration eliminate inefficiencies and reduce spend.
50% Faster Project Timelines	Reusable frameworks and AI-assisted migration compress delivery cycles without sacrificing quality.
60% Lower Monitoring Overheads	Enterprise-grade observability drives proactive detection and faster resolution.

Where We Make the Difference

Neutral approach across Azure, AWS, GCP, Snowflake, Databricks

IP-rich accelerators for metadata migration, code refactoring, and lineage mapping

AI-centric frameworks to support advanced analytics and ML pipelines

Business continuity-first modernization strategies

Engagements that span from advisory to long-term managed services