Case Study: Aktify democratizes data access and cuts engineering time with dbt Labs and Databricks

Aktify democratizes data access with Databricks Lakehouse Platform and dbt

Aktify, an industrial automation company that helps clients convert customers through conversational AI, needed a better way to handle massive volumes of data without creating brittle dependencies or slowing down its team. With dbt Labs and Databricks Lakehouse Platform, the company wanted to democratize data access so data scientists, executives, and other stakeholders could work with the right level of data without risking downstream breakages.

Using dbt Labs’ dbt alongside Databricks and Tableau, Aktify simplified data transformations, added testing and documentation, and made production data easier to access and trust. The result was an 80% reduction in data engineering hours, a 95% reduction in employee onboarding time, and six-figure annual IT savings, while also cutting pipeline build time from 3–5 days to half a day and enabling faster, better-informed decisions across the business.

Aktify

Brandon Smith

Director of Data and Analytics