Automated data work accelerates process flows and increases overall productivity.

Automation is one of the best answers to current staffing and scaling challenges. When combined with machine learning, it can even be applied to work that requires domain expertise. Because data work often requires subject matter experts, automating it produces double benefits -- speeding up data-dependent processes and freeing key people to do more important things.

Automating Data Work with APIs and Orchestration

Wrangling data is easy with APIs. They can plug into any process or system, including desktop spreadsheets.

Data work often requires blending multiple data sets. Smart APIs can match and integrate data automagically.

APIs and cloud automation can be deployed and operated with minimal IT investment. 

 Wrangles       Automated Pipeline

Custom workflows digest files, apply the appropriate Data Wrangles, match items to master data, and map the final results to target output schemas. Pipelines also contain data validation steps which alert when inputs or outputs do not conform with expectations.

Learn more about Wrangling as a Service.