Higginbotham's Underwriting Efficacy Starts with Data Modeling

Having used several modeling tools in the past, David closely understood the alternatives. “If we didn’t have a data modeling tool, I’d likely be doing something with a powerpoint with just simple block notation to represent these types of relationships.” However, the Higginbotham team uses conceptual and physical models to visualize their schemas at a better level. At the same time, Using simple, easy-to-read diagrams has provided a common understanding of the project at hand so that the engineering team could begin building out their warehouse in Snowflake.

In general, SqlDBM has met Higginbotham’s needs by providing a lot of practical features without overwhelming users. David particularly appreciates SqlDBM’s ability to upload comments from Excel, which has been a great way to make information gathered from the business teams available to everyone.

David’s team is still in the early stages of implementation. Still, they have already been able to deliver value and, most importantly, showcase it with a browser-based, easily accessible, collaborative tool like SqlDBM. Having worked with other modeling tools in the past, David appreciates how SqlDBM provides many practical features without being overbearing and allowing him to get his job done.