Watch: Verodat’s Bulk Reprocessing Feature:

Want the full picture?

If you’d like a complete feature walkthrough, Aaron, our Head of Product, demos everything below.

The problem with fixing data errors today

If you manage large volumes of bordereaux data, you’ll know this feeling. You’ve been processing files for months — thousands of uploads, millions of rows now sitting in your data warehouse. And then during a routine review you spot it. A mapping error. Net Premium recorded as Gross Premium across a whole batch of cover holders. It’s not one file. It’s dozens. And all of that data, already in your warehouse, is wrong.

In most platforms, that means a consultant call, manual rework across every affected file, and days of waiting — at a cost. Every single time. And the frustrating part is it’s never a once-off. Mappings change. Fields get added. Data that’s already in your warehouse needs correcting. It just keeps happening, and the fees keep adding up.

What bulk file reprocessing does differently

Verodat’s bulk file reprocessing lets your team take control of that process entirely. Rather than sending errors out to be fixed externally, you can update your mapping rules and validation logic inside the platform and reprocess your entire batch automatically — hundreds or thousands of files — in minutes. No consultant, no reprocessing charge, no waiting.

In Aaron’s demo above, you’ll see him load up 36 files across three cover holders, identify where an incorrect mapping has been applied, correct it, add a new column across the full dataset, and reprocess the entire batch in under a minute. What would typically mean days of rework and consultant fees is a one-minute job in Verodat.

Why this matters commercially

For delegated authority teams and MGAs handling large bordereaux volumes, the commercial impact is significant. Every batch correction that previously required external support can now be handled internally, immediately, at no extra cost. When you multiply that across every correction your team makes in a year, you’re looking at a very significant return on your investment, very quickly.

It also means that as your data requirements evolve — new carriers, new formats, new validation rules — you’re not dependent on external support every time something changes. Your team can adapt and reprocess independently, keeping your data clean and your reporting accurate without the overhead.