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Fundamentals
AI for Data Blending: How It Works and Why It Matters
AI for data blending combines sources for analysis without new pipelines. Learn how it works and how AI is changing the practice.
August 27, 2026
Fundamentals
Data and Analytics Strategy: A Practical Framework
Build a data and analytics strategy that aligns governance, access, and action with business outcomes. Stop the three-answer problem before it starts.
August 27, 2026
AI Apps
Build governed apps in minutes with code-backed Sigma and a coding agent
Use Sigma Skills with Claude Code, Cursor, Codex, or Snowflake CoCo to turn a prompt into a governed Sigma app in minutes.
August 27, 2026
Fundamentals
Automated Reporting: How AI Agents Automate Recurring Reports
AI agents automate recurring reports by querying live warehouse data, formatting outputs, and delivering them on a set schedule.
August 26, 2026
Fundamentals
AI Spreadsheets: What Changes When AI Sits Inside the Grid
An AI spreadsheet is only as good as the data it reaches. Learn what separates live, governed AI grids from bolted-on add-ons.
August 26, 2026
Fundamentals
How AI Is Replacing SaaS in Data Analytics
See how AI is consolidating the analytics SaaS stack across dashboards, ETL, planning, and more, into one governed platform built on live warehouse data.
August 25, 2026
Fundamentals
How to Improve User Adoption of Self-Serve Analytics
Self-serve analytics adoption stalls when product limits block follow-up questions, spreadsheet-level exploration, and trust. Learn how Sigma helps address the skill floor, follow-up limits, and data trust problems.
August 25, 2026
Fundamentals
How to Avoid Accuracy Challenges in Ad Hoc Reporting
Ad hoc reporting fails at data sources, metric definitions, and reviews. Learn how to fix each failure point before the query runs.
August 25, 2026