After spending time talking to dozens of data teams, the trio realized that the data industry’s approach to managing data at the source was 15 years behind software engineering.
Data contracts, integration testing, unit testing, diffs, and monitoring were all sorely lacking outside the Data Warehouse. This caused data quality issues to cascade from upstream sources into the analytical environment spurring an overflow of failed tests and randomly changing data - a problem that made
data products fundamentally unscalable. Shortly after, Gable was born, with the mission of creating a data culture of collaboration, accountability, quality, and governance.