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. Review collected by and hosted on G2.com.
In terms of customizing the visual presentation of the dashboards, there is some room for improvement. There are times when I wish I had more flexibility in terms of format when I have to prepare risk reports for our insurance partners. Review collected by and hosted on G2.com.
Hi Klaus! Defining risk indicators, loss ratios, and premium metrics once, and having every executive and broker dashboard use the same definitions, is a big part of why we built the semantic layer. Thank you for explaining how it helps in your quarterly renegotiations and compliance checks.
On report formatting for outside partners, you may want to look at AI Publisher, a feature for building branded, presentation-style reports from live data that can be exported as PDF or PPTX: https://www.gooddata.ai/docs/cloud/experimental-features/ai-publisher/
If you tell me which formats you need for those reports, I’ll pass it to the product team: anna.slabunova@gooddata.com.