CRM Migration

We built a lightweight Python-based migration process to extract, clean, and load data into the new CRM.

The situation

The client was migrating to a new CRM and struggling to move data across from the old system. As the go-live date approached, it became clear the existing migration approach wouldn’t get them there in time. Without intervention, the launch would slip.

The opportunity

If the data could be moved quickly and reliably, the CRM launch could stay on track. The problem wasn’t the volume of data, it was the lack of a flexible way to extract, clean, and reload it under pressure.

How we made it happen

We built a lightweight Python script to take control of the migration. It extracted data from the old CRM, cleaned and transformed it, then loaded it into the new system via its API.

Because the process was scripted, we could iterate quickly. Issues were fixed, mappings adjusted, and data reloaded without slowing the project down.

What changed

  • Migration delivered end to end in ten days, from first call to completion
  • Data moved cleanly into the new CRM ahead of launch
  • The CRM deployment accelerated rather than delayed
  • The client launched on time

Why it matters

This work replaced fragmented reporting with a dependable analytics foundation. Teams no longer need to question the numbers and can trust them to guide commercial, marketing, and operational decisions.

Tech Stack

Data Sources

  • Peoplevine

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