Hex gives business users approachable ways to engage with data, like interactive apps and natural-language queries, while still offering the depth analysts need for technical work. Both groups share the same workspace, which means stakeholders get answers faster and data teams don’t have to rework analysis across multiple tools.

BI dashboards are built to show what happened—fixed KPIs and standard cuts of the data. Hex is built to answer how it happened, why it happened, and what if it changes. With data-team-first workflows in a notebook that supports SQL, Python, and no-code, teams can move quickly from simple KPI lookups to deep, iterative analysis, without bouncing between tools.

Business questions come in all shapes and forms. Sometimes it’s a simple KPI trend, other times it’s “why is this happening?” or “what can we expect next?”, which requires deeper analysis. Splitting BI and technical analysis across different tools creates friction, duplicate effort, and inconsistent answers. Hex unifies it all in one place so the workflow stays connected.

Yes. Hex supports traditional dashboards, but also goes further, letting teams build interactive data apps, parameterized views, and even workflows with predictive models. That flexibility means you can cover executive reporting and deeper analysis in the same place, instead of maintaining separate tools.

Yes. Hex lets users self-serve insights with natural language Q&A, interactive charts, pivot tables, spreadsheet-style views, and simple formula-based calculations—all without writing SQL or Python.

Semantic models in Hex bring speed and trust together. You can define metrics and relationships where analysis already happens, using autocomplete, validation, and AI help, without learning a new language or starting from scratch. Because models live alongside notebooks, apps, and agents, exploration turns into governed definitions that power self-serve, improve AI accuracy, and keep business logic consistent.