Vordentech

Vordentech successfully completed a project for Cygnal, a company that provides survey research and data science for political campaigns, committees, and causes globally. The specific goals of the project were to build Cygnal's data pipelines and warehouse, enabling both reporting and predictive analytics, and to develop Machine Learning (ML) models on Azure for scoring purposes. Vordentech was selected for the project due to their high ratings, culture fit, good value for cost, and aligned company values. A team of 2-5 employees from Vordentech was assigned to the project. The scope of work included the development of data pipelines to clean, aggregate, and enhance data, elimination of silos to generate greater insights, and assistance with predictive analytics model creation and deployment. The key deliverables were automated data pipelines, predictive scores, and Snowflake databases. Vordentech's work greatly contributed to Cygnal's ability to generate valuable insights from their data.