Prerequisite: None
As companies migrate to modern cloud data warehouses, a connectivity gap emerges for Excel users accustomed to multi-dimensional analysis. A universal semantic layer combined with the MDX API allows live connections between Excel and cloud data platforms like Snowflake and Databricks.
Despite the rise of BI tools, Excel remains ubiquitous, with over 1 billion global users across enterprises. Its intuitive interfaces for pivot tables, charting, and ad hoc analysis make Excel a staple for finance, supply chain, CPG, retail, and more. As data democratization efforts push analytics to business users, Excel's accessibility is invaluable.
However, traditional data systems don't map smoothly to cloud data warehouses. A universal semantic layer provides a multidimensional analysis engine to model data from modern cloud data platforms. The new native MDX API lets Excel users connect live to this modeled data using the same seamless pivot table and formula experiences they're accustomed to—no more exporting data sets.
Business users gain self-service access to enterprise data, while data teams govern the underlying data models and security. Users analyze with Excel's familiarity, backed by semantic consistency, performance, and access controls.
Join us to see how a universal semantic layer helps bridge the gap between the modern data stack and Excel.