Predictive Models for Risk-Based Document Migration in Regulated Systems

Abstract

This article lays out a smart way to move your important documents from older systems to newer platforms like Veeva Vault, especially in regulated industries. It's designed to tackle the tough challenges companies face during these moves, largely because of strict compliance rules and worries about keeping data accurate. The core idea is to look at three things: how complex your document's metadata is, how many documents you have, and how deeply they're connected to each other. These three factors go into a model that helps predict how complicated the migration will be, how many resources you'll need, how long it will take, and where the biggest risks are. The plan involves a thorough check before you even start, categorizing risks, and then moving documents in phases. For those using Veeva Vault, this approach offers some big perks: it helps you use resources smarter, gives you more accurate timelines, reduces risks, improves how you talk to everyone involved, and even makes the validation process smoother. Essentially, it helps organizations systematically plan and execute these tricky migrations, all while staying compliant and keeping business disruptions to a minimum in highly regulated fields.