Learn how custom data models drive impactful embedded analytics within SaaS applications and deliver custom experiences for users and providers alike.
, the integration of reporting and data visualization capabilities into existing software applications, is becoming a requirement across industries. It powers next-generation digital experiences that delight users and provide competitive differentiation for SaaS companies, but custom data models lie at the heart of any strong embedded analytics feature set.
Semantic layers allow for the addition of business context to raw data, enabling users to interact with it in a more intuitive and meaningful way. However, most legacy data warehouses do not include native support for semantic layer capabilities, which are essential for implementing fine-grained access control, ensuring data governance, and managing metadata effectively.
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