SigTech has a curated verification system that allows our engineers to ensure data quality.
Our data cleansing process is broken down into two steps:
- 1.Validation: an iterative process where we select checks to apply to datasets and resolve any errors that arise.
- 2.Cleaning: corrections and deletions are loaded in. The data is then stored to a separate storage facility.
Errors that surface following validation:
Tip: a fully validated timeseries or instrument is marked with a
Note: default is clean data, but you have the option to select raw data.