Case Study: Higginbotham improves Snowflake data modeling and analytics collaboration with SqlDBM

Higginbotham's Underwriting Efficacy Starts with Data Modeling

Higginbotham, an insurance company, faced the challenge of building a well-managed data warehouse for analytics and reporting with a lean data engineering team. Their Director of Data Infrastructure needed a way to create a clear business blueprint for data stakeholders and facilitate collaboration. To address this, the team selected SqlDBM as their data modeling tool.

SqlDBM provided a collaborative, browser-based solution that allowed the team to migrate SQL Server models into Snowflake and create easy-to-read conceptual and physical models. This facilitated discussions between engineers and analysts and kept everyone informed through the data dictionary. As a result, SqlDBM enabled Higginbotham’s team to begin building their warehouse effectively, deliver value early in the implementation, and create a shared architectural map to be socialized across the business.

Higginbotham

David Sipos

Director of Data Infrastructure