Case Study: Homebot achieves 50% faster documentation with Secoda

How Homebot took the lead in data quality with Secoda’s scoring system

Homebot, a customer engagement platform for homeowners in financial services and real estate, was struggling to keep data documentation and governance consistent as its data team grew and ownership of its Secoda platform shifted between teams. With more data, more questions, and increasing complexity, the company needed a clearer way to maintain accurate, up-to-date documentation and support better data quality. Secoda helped Homebot organize and centralize its data management efforts, including its cataloging and questions workflows.

Using Secoda’s Data Quality Score (DQS) and Questions feature, Homebot standardized documentation, centralized data inquiries, and created measurable quality thresholds for its data models. The results included a 50% reduction in documentation time, improved data accuracy and consistency, and a significant reduction in BI workload and ticket volume. Secoda’s approach helped Homebot move from reactive support to more proactive data analysis and governance.

Homebot

Matthew DiRe

Head of Data and Analytics