Building a Robust and Scalable Data Foundation for Superior Customer Experience
A Snowflake and AWS data foundation enabling faster insights and improved customer experience through unified data.
Move from Teradata, Oracle, SQL Server, SAP, SAS, COBOL, Netezza, Redshift, or any legacy platform to Snowflake, with AI accelerating every step. From initial Snowflake implementation and environment setup through production cutover, we handle the complete migration. Cortex Code generates Snowflake-native code. SnowConvert automates conversion work. AI-powered mapping understands your data semantically. The result: faster migrations with provable data integrity and zero business disruption.
Complete migration from any platform—Snowflake setup, AI-powered conversion, and zero-downtime cutover
Complete Snowflake setup from account configuration through production deployment. Security, warehouses, and access controls configured correctly from the start so migrated workloads land in a production-ready environment.
Migrate from any legacy platform with 96% automated code conversion using AI-powered tools. Complete migrations in 8-16 weeks instead of 6+ months with provable data integrity.
Move from other cloud platforms to Snowflake in 8-12 weeks with 75% faster query performance. Real-time streaming, modern transformations, and incremental processing built in from day one.
Three paths to SAP modernization: zero-copy data sharing, full migration from SAP BW, or hybrid unification. Zero-downtime cutover ensures business continuity throughout the transition.
Modernize legacy SAS environments to Snowflake with automated conversion patterns. Move from proprietary analytics to open Python/Scala or SQL-based transformations.
AI-powered mapping understands your data semantically, and not just by column names. Reduce manual mapping effort by 60-70% with intelligent field matching that catches what metadata-only tools miss.
Migrate with zero business disruption using real-time data sync and parallel validation. Cutover windows shrink from 3-5 days to 4-8 hours with 100% data validation, not 15-20% sampling.
96%
Automated Code Conversion
SnowConvert and Cortex Code eliminate manual rewrite work
40-50%
Faster Delivery
Battle-tested accelerators compress months into weeks
10% Scope Variance
vs. 35-50% Industry-Average Migrations that stay on estimate
Zero-Downtime
Cutover In 90% of engagements—business continuity throughout
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SAP BW to Snowflake Migration
26K hours reclaimed | $1.5M annual savings | 3× analyst productivity
An AI-driven approach using GenAI to automate and accelerate SAS-to-Snowflake migration while building a modern, scalable data foundation.
Faster, lower-risk migrations | Reduced manual effort | Improved scalability
A GenAI-powered Oracle-to-Snowflake migration modernizing data infrastructure for a global investment firm.
Improved performance | Stronger security | Reduced manual effort | Faster migration timelines
Comprehensive source system profiling, complexity scoring, and AI readiness assessment with defensible estimates before you commit.
Timelines depend on source complexity and data volume, but most enterprise migrations complete in 8-16 weeks from scoping to production cutover. Our AI-powered accelerators compress this by 40-50% compared to traditional approaches—migrations that would take 6 months conventionally finish in 10-12 weeks with our tooling.
SnowConvert automates code conversion from legacy platforms (Teradata, Oracle, SQL Server) to Snowflake-native SQL—achieving 96% automation rates. Cortex Code is Snowflake's AI code generation tool that creates new Snowflake-native code from natural language or legacy patterns. We use both: SnowConvert for bulk conversion, Cortex Code for custom logic and optimization.
Yes. Our SAP COE toolkit includes zero-downtime cutover orchestration with parallel-run validation—your SAP systems stay live while we sync data to Snowflake using CDC pipelines. Business users don't experience downtime during the transition.
Our Data Reconciliation & Validation Suite automates row counts, checksums, statistical distribution comparisons, and business rule validation across source and target environments. Every table is validated at 100% coverage—not the 15-20% sampling typical in manual QA. Discrepancies are logged, severity-classified, and routed to the right team before go-live.
The Migration Inventory Generator prevents this by auto-crawling source environments before scoping begins—cataloging every object, dependency, and custom extension. Migrations scoped with this tool come in within 10% of estimate vs. 35-50% overruns for manually scoped projects. Unknown scope is the exception, not the rule.
Not with our CDC & Real-Time Replication Accelerator. We deploy change data capture pipelines alongside the initial bulk load, keeping Snowflake in sync with source systems throughout the project. Cutover windows shrink from 3-5 days (with business freeze) to 4-8 hours with zero revenue impact.
