How ChatGPT and Python simplified the migration to HubSpot CRM

Today, we’re taking you on an exciting journey into the world of data cleansing. Wait, what? Exciting and data cleansing in the same sentence? Yes, you read that right. We recently discovered a solution that not only simplifies the process but also makes it fun: the combination of OpenAI’s API, ChatGPT, and Python!

The Problem: Unstructured Data in the Legacy CRM System

Imagine being responsible for migrating from a legacy CRM system to HubSpot. You come across over 10,000 records where first and last names are in the wrong order and completely unstructured. This is not only annoying but also time-consuming if you have to correct everything manually.

The Solution: ChatGPT via API, Python, and a Custom Prompt

Conventional Excel formulas weren’t helpful in this case, as the names were so unstructured that each one required individual evaluation to determine the correct first and last names. That’s why we turned to OpenAI’s API and ChatGPT for assistance.

Using a custom prompt and a short Python script, we were able to get ChatGPT via API to format the names correctly. ChatGPT was able to do exactly what we needed: provide an almost human-like assessment of which names were first or last names. It’s always fascinating to see what’s already possible and what will be possible in the future.

The Result: Time Savings and High Accuracy

Thanks to this innovative solution, we were able to avoid hours of manual labor in Excel and let the script handle data processing in the background. The best part? The accuracy of the cleaned data was impressively high.

Conclusion

Data cleansing doesn’t have to be boring and time-consuming. With the right tools and a touch of creativity, even this task can be mastered. OpenAI’s ChatGPT and Python helped us carry out the data migration to HubSpot smoothly.