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manufacturing

Legacy Database Modernisation & ERP Integration

How we decomposed a 779-column legacy database into a clean, normalised schema — enabling modern integrations and reporting for a refrigerated van manufacturer.

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779 cols
Legacy schema

Monolithic 779-column database restructured into a clean, normalised schema

Complete
Data migration

Full data migration with validation at every step — zero data loss

Delivered
Integration ready

Clean schema enabling integration with CRM, reporting tools, and third-party systems

The Challenge

Coolkit had accumulated years of operational data across a legacy database with a 779-column schema — a sprawling, undocumented structure that made reporting near-impossible and integration with modern tools prohibitive.

The Solution

We performed a full audit and modernisation of the legacy database — decomposing the monolithic schema into a clean, relational structure that could be queried efficiently and integrated with third-party systems. Data was migrated, validated, and verified against the source system.

The Challenge: A System That Had Grown Beyond Control

Coolkit had been operating for years with the same core system — a database that had grown organically over time into a sprawling 779-column schema. No documentation. No clear ownership. Just a structure that held the business together through inertia.

The consequences were predictable:

  • Reporting was painful: Extracting meaningful data required specialist knowledge of the schema and hours of manual work
  • Integrations were impossible: Modern tools couldn’t connect to the legacy structure without significant middleware complexity
  • Operational risk: Nobody fully understood the schema, and making changes risked cascading failures

The Solution: Full Database Modernisation

We began with a complete audit of the legacy database — mapping every column, understanding the relationships, and identifying what was actively used versus legacy cruft from systems long since retired.

The audit informed a ground-up redesign: decomposing the 779-column monolith into a clean, normalised relational schema. Data was migrated, validated, and verified against the source system before the legacy structure was retired.

The result: a database that could be queried by any developer, integrated with modern tools without specialist knowledge, and maintained without fear of cascading failures. This clean data foundation then enabled the CRM implementation that followed.

If your business is running on legacy systems that have become a liability, let’s talk.

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