Case Study: Large Telecom Company accelerates analytic cycle time with DataKitchen DataOps Platform

Accelerating Analytic Cycle Time with DataOps and the DataKitchen Platform

Large Telecom Company was struggling with extremely slow analytic delivery cycles, taking more than four months to release new features into production. The manual, four-stage deployment process lacked automation and testing, which created delays, errors, and low trust when issues reached business users.

To address this, DataKitchen implemented its DataOps Platform to modernize the company’s core EDW pipeline, starting with the development and test stages. DataKitchen helped the team create aligned environments and add automated testing throughout the pipeline, including unit, functional, regression, performance, and data integrity checks, enabling errors to be caught much earlier and reducing the time spent on fixes. The case study reports dramatic improvements in cycle time and a stronger foundation for faster, more reliable analytics delivery.