From Fragmented Systems to Unified SaaS: A Case Study in Secure Data Migration for Quality Management

From Fragmented Systems to Unified SaaS: A Case Study in Secure Data Migration for Quality Management

One-liner summary:

A global quality management software provider partnered with Ideas2IT to build a secure, scalable migration engine that moved terabytes of compliance data from fragmented on-prem systems to a unified, multi-tenant SaaS platform reducing onboarding time, operational costs, and architectural complexity.

The Problem with the Status Quo

A leading QMS vendor trusted by major enterprises was scaling rapidly, but operational inefficiencies were mounting. Customers were distributed across on-prem deployments, single-tenant cloud environments, and legacy databases. Every upgrade, patch, or migration introduced risk and delay.

They had market momentum and enterprise clients but their infrastructure had become a liability.

To streamline operations and support continued growth, they needed to consolidate everything into a single, cloud-native, multi-tenant architecture without compromising compliance or disrupting live environments.

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Where the Gaps Were

The reality under the hood:

Multiple database engines (Oracle, SQL Server, MySQL)
10–20K tables per customer and 60–80 schemas per instance
Data sprawl across 10TB+, with inconsistent logic and access
Complex business logic embedded in custom scripts, procedures, and legacy workflows
No unified approach to enforce compliance or simplify client onboarding

The legacy infrastructure was limiting scale and operational clarity.

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What We Delivered

Ideas2IT engineered a purpose-built migration tool designed for volume, variation, and velocity. The solution was an industrial-grade tool with parallel processing, transformation, observability, and strict tenant isolation.

Core Components:

Precheck engine for infra and compatibility audits across DBs, OS, and auth systems
Schema conversion layer (via SQLines) to normalize Oracle/SQL Server into MySQL
Migration orchestrator built with Python and PySpark for core and non-core data
Parallel migration pipeline across tenants using CDC, Debezium, and Kafka
Post-migration validation with checksum audits and SLA-based handover
Dashboards, logs, and metrics via Datadog, Grafana, and OpenSearch

All of it wrapped in a hardened environment using AWS KMS, Cognito, IAM roles, and private networking.

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Outcomes We Achieved

Metric	Before	After
Customer migration time	Weeks–months	Hours–days
Maintenance overhead	High	Down 36%
Tenant scalability	Limited	Seamless across environments
Data consistency	Manual validation	Automated checksums + audits
Onboarding new clients	Painful	Click-to-provision ready

The client now delivers QMS as a product. Their engineering team can roll out features globally. Their sales team can price competitively. Their customers get speed, scale, and reliability.

Key Takeaways

Heterogeneous data is normal and designed for it. Your systems will never be clean until you make them portable.
Scripts won’t scale. If you're doing it more than once, automate it and abstract it.
Security, observability, and auditability are table stakes. Especially if you're in compliance-heavy industries like QMS.

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Co-create with Ideas2IT

We show up early, listen hard, and figure out how to move the needle. If that’s the kind of partner you’re looking for, we should talk.

We’ll align on what you're solving for - AI, software, cloud, or legacy systems

You'll get perspective from someone who’s shipped it before

If there’s a fit, we move fast — workshop, pilot, or a real build plan

Trusted partner of the world’s most forward-thinking teams.

Tell us a bit about your business, and we’ll get back to you within the hour.