Keep consumer services recordings organized for data science
Keep consumer services recordings organized for data science
Data scientists lose recordings when uploads are misnamed, causing gaps in training datasets. It sorts and renames files into course folders, so data scientists process recordings without manual filing.
Overview
Data scientists lose training samples and delay model updates when recordings are misfiled, impacting personalization and customer insights. This workflow routes and standardizes recordings into course folders so datasets stay reliable and processing happens without manual filing; teams report faster processing and fewer misfiles.
Notable Features
- Place recordings in correct folders
- Standardize filenames for easy search
- Flag unmatched files for review