Visualization tools like Tableau have long been essential for data analysis, but their steep learning curves often make them inaccessible to non-technical business users, slowing decision-making and hindering opportunities. The future of data analytics lies in empowering business and non-technical users to interact with data, draw insights, and make real-time decisions, without relying on expertise working with complex visualization tools. Semantic layers are key to this transformation, abstracting metric definitions and forming the foundation for no-code self-service analytics solutions. This session will explore how semantic layers bridge the gap between data silos and business needs. Attendees will gain insights into designing metrics with semantic layers and building high-performance, low-latency data storage solutions to enable seamless self-service analytics, empowering teams to make faster, more effective data-driven decisions.
