Case Study: Plentific achieves stable, scalable data workflows with dbt Cloud from dbt Labs

Plentific implements a robust, scalable data workflow with dbt Cloud

Plentific, a real-time property management orchestration platform based in London, needed a more scalable and reliable data workflow as it grew. The team had been relying on ad hoc SQL scripts and lacked a standardized data development process, which led to siloed knowledge, unstable pipelines, and limited observability across thousands of raw tables.

To solve this, Plentific implemented dbt Labs’ dbt Cloud alongside Snowflake and Looker to transform raw data into reporting and customer-facing models, add automated testing, and generate documentation. The result was a 99% decline in data pipeline breaks, a 70% growth in the data team over three years with better productivity, and the creation of 20 reporting views from thousands of source tables, helping protect revenue reporting and power its Advanced Analytics product.

Plentific

Raúl Avilés Poblador

Director- Head of Data Engineering