How to build a data app: A step-by-step guide

Data apps turn live warehouse data into interactive workflows by enabling users to view information, submit updates, approve decisions, correct records, and trigger downstream actions within one governed interface, unlike traditional dashboards that primarily support analysis. Using Sigma as an example, the guide describes three core components: a workbook-based user interface, Input Tables or Sigma Tables for warehouse writeback, and no-code Sigma Actions to automate routing, status changes, modals, and notifications. It recommends planning the workflow and role-based handoffs before building, establishing warehouse-level row permissions early, connecting and testing read and write access, then creating editable tables and configuring actions to support the intended process. Builders can begin with AI-assisted generation or templates, but should validate generated workflows against business rules. Before launch, apps should meet standards for usability, workflow reliability, performance, and access control, followed by a small pilot rollout to identify skipped fields, stalled approvals, and workarounds before wider deployment. After launch, Sigma Agents can extend applications with conversational, human-approved, or autonomous workflows while inheriting the app’s existing security and defined action limits.

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