Enterprise Data Modernization for a Global Software Provider

Years of organic growth and acquisitions had left a premier enterprise software provider with a fragmented data landscape. CRM data lived in one system, billing in another, product usage in a third -- with no unified view of customer lifecycle or revenue health. Schema mapping gaps paralyzed downstream reporting and created blind spots in billing reconciliation.

Euclid designed and implemented a modern three-tier data architecture (Bronze/Silver/Gold) with live data health monitoring, achieving 100% CRM ingestion completion and 95% billing path remediation -- all with a zero-downtime rollout strategy now scaling across three global regions.

About the Client

The client is a premier enterprise software provider specializing in B2B IT and Security Management solutions. Their platform serves thousands of enterprise customers globally, managing critical IT infrastructure, endpoint security, and compliance workflows.

As the company grew through acquisitions and product expansion, its data infrastructure became increasingly fragmented -- with siloed reporting systems, inconsistent schemas, and legacy architectures that could not support the pace of modern operations.

The Challenge

Siloed reporting, schema mapping gaps, and paralyzed downstream analytics.

Years of organic growth and acquisitions had left the client with a fragmented data landscape. Reporting systems operated in silos -- CRM data lived in one system, billing in another, product usage in a third -- with no unified view of customer lifecycle or revenue health.

Schema mapping gaps between the legacy architecture and the target modern data platform meant that critical transformations failed silently, paralysing downstream reporting and creating blind spots in billing reconciliation.

Deployment cycles were delayed as teams manually traced data lineage issues, and stakeholders across finance, product, and customer success lacked confidence in the numbers they were working with.

Our Approach

A modern three-tier architecture with live data health monitoring.

Phase 1: Data Landscape Audit and Profiling

Conducted a comprehensive audit of the legacy data estate -- mapping every source system, schema, transformation, and downstream dependency. Profiled 98% of historical data to establish baseline quality metrics and identify mapping gaps.

Phase 2: Three-Tier Architecture Design (Bronze/Silver/Gold)

Designed a modern data cloud architecture with three distinct tiers:

• Bronze -- raw ingestion from all source systems
• Silver -- cleansed and conformed data with quality enforcement
• Gold -- business-ready analytical datasets for reporting and BI

This layered approach enables progressive data quality enforcement at each stage.

Phase 3: Dynamic Temp Table Generation

Built a dynamic temporary table generation framework that automated schema mapping between legacy and modern architectures -- resolving the transformation gaps that had previously paralyzed downstream reporting.

Phase 4: Live Data Health Dashboards

Deployed real-time data health monitoring dashboards tracking:

• Ingestion completeness
• Schema conformance
• Transformation success rates
• Downstream reporting availability

These dashboards gave stakeholders visibility into migration progress and data quality at every stage.

Phase 5: Zero-Downtime Rollout Strategy

Engineered a production-safe migration approach with parallel-run validation, automated rollback capabilities, and phased regional activation -- ensuring zero downtime and business continuity throughout the transition.

Outcomes

Complete data coverage, zero downtime:

• 100% CRM ingestion completion -- full pipeline coverage
• 98% historical data profiling -- legacy-to-modern mapping
• 95% billing path remediation -- revenue integrity restored
• Zero downtime rollout strategy -- production-safe migration
• 3-tier Bronze/Silver/Gold architecture -- modern data cloud
• 3 regions in sequential multi-wave rollout -- Europe, APAC, Americas

What Comes Next

With the core architecture proven and validated in the initial wave, the engagement is now scaling across the client's global footprint through a sequential multi-wave rollout: Europe first, followed by APAC, and then the Americas.

Each regional wave follows the same zero-downtime playbook -- parallel-run validation, automated data quality gates, and phased activation -- while accommodating regional data residency requirements, schema variations, and local compliance standards. The goal is a single, unified data platform serving every region, every function, and every business unit.