Case Study: TextUs reduces data requests by 50% with Secoda

TextUs used Secoda to reduce the volume of inbound data requests by over 50%

TextUs, a consumer engagement platform for business text messaging, needed a way to keep up with rapidly growing data demands as its internal reporting pipeline became a blocker for scaling reporting and insights. The data team lacked clear documentation and lineage, making it difficult to safely rebuild the stack, verify reporting dependencies, and support broader business access to data.

Using Secoda, TextUs automated documentation and lineage across its rebuilt data pipeline, migrated from Looker to Sigma, and created a self-serve source of truth for dashboards, FAQs, and user guides. Secoda helped the team move faster, reduce manual verification work, and onboard business users smoothly, leading to over a 50% reduction in inbound data requests and company-wide adoption of new dashboards and analytics tools.

TextUs

Julie Garst

Data Science Team Lead