Semantic Modeling with Sigma

Sigma is set to launch a new feature called Data Models in October, aiming to enhance its self-service analytics platform with a robust semantic layer that includes benefits like metric consistency, reusability, governance, and versioning. This move addresses the challenge of differing metric definitions across an organization by allowing business users to define and manage metrics without needing to code, using a no-code Excel-style interface. The introduction of Data Models is seen as a way to balance self-service capabilities with consistency and governance, enabling organizations to maintain centralized control over key metrics while allowing flexibility for ad-hoc analyses. Additionally, Sigma is integrating with other data ecosystem tools and developing AI features to leverage the defined metrics, ensuring accuracy and consistency in data-driven decisions. These enhancements underscore Sigma's commitment to empowering business users and providing a flexible, user-friendly analytics environment.