It is essential to have data consistency while managing our risk profiles and insurance policies for our automation contracts at WERPRO. The Semantic Layer Tools provided by GoodData.AI have been a blessing for me in my professional life. All our risk indicators, loss ratios, and premium metrics can be defined once. All the dashboards I share with our executives and the insurance brokers outside will be based on the same definitions. It will make sure that there are no differences while we are renegotiating insurance policies or checking safety compliance metrics each quarter. I am now able to provide liability reports without any concerns because of standardized business logic throughout the company.

Honestly, the best part is how everything just works together. The semantic layer lets you set up your business logic once and it stays consistent across every report, dashboard, or workflow. Embedding analytics into our product was surprisingly smooth thanks to the API-first design. And the newer AI features like the Agent Builder and MCP Server have made it possible to go beyond just viewing data to actually automating decisions. It feels like a platform that was built for where analytics is heading, not where it was five years ago.

The Agentic Analytics is an indispensable feature for me. Rather than having to search through several reports to check my daily call numbers and pipeline health, I can just inquire from the AI agent. It delivers governed and precise data on my sales territory instantly. It enables me to automate my end-of-week performance report generation right within my workflow to make sure that I am constantly aligned with my goals at Fkilp.