Definition
Data Classification Upload is a Setup feature that allows administrators to bulk-update data classification metadata by uploading a CSV file. This enables organizations to classify hundreds of fields at once rather than updating each field individually, streamlining the data governance process.
Real-World Example
After completing a data governance workshop, the compliance team at Helios Insurance prepares a CSV file with updated classifications for 300 fields. The admin uploads the file using Data Classification Upload, and all 300 fields are instantly tagged with their correct sensitivity levels and compliance categories, a task that would have taken days to do manually.
Why Data Classification Upload Matters
Data Classification Upload is a Setup feature that enables administrators to bulk-update data classification metadata by importing a CSV file. Instead of manually navigating to each field across every object to set its sensitivity level, compliance category, and data owner, administrators prepare a CSV with columns for object name, field name, sensitivity level, compliance categories, and data owner, then upload the file in a single operation. The system matches each row to the corresponding field and applies the classifications. This feature is essential for initial classification efforts in orgs with hundreds or thousands of fields, as well as for periodic updates following governance reviews.
Data Classification Upload transforms data governance from a manual, error-prone process into a scalable operation. Without it, classifying 500 fields individually through the UI would take days of repetitive clicking. The upload feature supports both initial bulk classification (when an organization first adopts the framework) and incremental updates (when governance reviews identify fields needing reclassification). Organizations typically use Data Classification Download to export the current state, update the CSV with corrections and new classifications, and then upload it back. This round-trip workflow enables governance teams to collaborate in spreadsheets, get approvals from data owners, and apply changes in bulk. The key risk is uploading an incorrect CSV, which could misclassify fields — so validation in a sandbox before production upload is critical.
How Organizations Use Data Classification Upload
- Helios Insurance — After a data governance workshop, Helios Insurance's compliance team prepared a CSV with updated classifications for 300 fields across 25 objects. The admin uploaded the file using Data Classification Upload, and all 300 fields were instantly tagged with their correct sensitivity levels (Confidential for PII, Internal for general data) and compliance categories (GDPR for EU customer data). This replaced what would have been a 3-day manual effort.
- Vanguard Financial — Vanguard Financial's governance team performs a quarterly review cycle: they download the current classification CSV, distribute sections to each department's data owner for review, collect the updated spreadsheets, merge them into a single CSV, and upload the consolidated updates. This structured round-trip process ensures every department takes ownership of their fields' classifications and changes are applied consistently.
- NovaTech Solutions — NovaTech Solutions acquired a company and inherited 150 new custom fields from a managed package. The admin downloaded the classification CSV, identified all unclassified fields from the acquisition, worked with the compliance team to assign appropriate sensitivity levels and compliance categories, and uploaded the completed CSV. The entire classification of the acquired data model was completed in one afternoon.