Data teams are pivotal in converting raw data into meaningful, consistent business definitions. Their work ensures that coworkers, customers, and machines can access trusted and governed data for various uses—including AI, BI, spreadsheets, and embedded analytics. Despite this, challenges such as siloed data teams, inconsistent metrics, and increasing overhead for data governance frequently impede the realization of data’s full potential.
In this webinar, we'll discuss how Cube’s universal semantic layer addresses these challenges by transforming data management and consumption, ultimately solving complex data problems, enhancing team productivity, and simplifying data discovery, access, and exploration.
Key Feature Highlights:
- Next-Generation Data Modeling Engine [Tesseract] (preview): Rebuilt for speed, starting with SQL Planner
- Multi-stage Calculations (preview): Support more complex analytical scenarios
- Data Access Policies (preview): Manage data access with new policy object in new UI
- Cube Copilot (preview): Increase engineering productivity with AI
- Cube Visual Modeler (preview): Turn clicks into code within a shared workspace
- Semantic Catalog (GA): Search a unified view of trusted data assets—now with column/member level lineage