Your team’s agentic BI assistant – it builds the trusted data model first, then the dashboards on top, all in plain language. Nash AI is in public preview now.
A practical guide to Sankey charts in BI — use cases that justify one, when a bar chart wins instead, and why live-query Sankeys matter for operational workflows.
Did you know you can add Snowflake GenAI Insight Summaries powered by Snowflake (and table/view reporting) to Slack & Teams, directly using Snowflake?
Snowflake’s powerful platform is architecturally different from almost every traditional database system and cloud data warehouse. Snowflake has completely separate compute and storage, and both tiers of the platform are near-instantly elastic.
Looking for Omni Analytics competitors in 2026? Compare the 8 best Omni Analytics alternatives including Astrato, Looker, Sigma, and Hex for modern BI.
Looking for ThoughtSpot competitors in 2026? Compare the 9 best ThoughtSpot alternatives including Astrato, Power BI, Tableau, Sigma, Hex, and more.
A sales pipeline and forecast app on Snowflake goes beyond the CRM: forecast with ML on full history, interrogate deal quality, and act on live data.
Revenue operations data apps turn scattered RevOps data into governed, real-time action — not just dashboards. What they are, with examples and how to start.
Databricks AI/BI now embeds dashboards externally. So when do you still need a third-party platform? A decision guide for data platform teams.
Compare embedded analytics platforms for BigQuery — Astrato, Sigma, Looker, Looker Studio, Power BI, Metabase. Built for product teams in Slack.
Self-service BI keeps breaking. Guided self-service fixes it: the data team designs the path, business users move freely within it. Here's how.
Every BI vendor claims self-service in 2026. A four-level spectrum, five evaluation questions, and an honest comparison of the platforms that compete on Snowflake.
Chart of accounts mapping aligns different account structures to one standard so finance can consolidate across entities. How it works, and how to automate it.
Variance analysis explained: the types, the formulas, and a worked example — plus why the commentary is the real work, and how finance teams automate it.
See how an AI dashboard builder grounded in a semantic layer works — 7 real Nash use cases, from 3-minute builds to legacy logic migration.
AI in BI splits into AI that answers vs AI that builds. Here's where AI genuinely helps analysts today — and where it still falls short.
Spreadsheet sprawl is the hidden tax on FP&A: forked models, version chaos, formula errors, no single source of truth. What it costs and how to escape it.
The month-end close process step by step — reconciliation, consolidation, and sign-off — plus a checklist, challenges, and how finance teams close the books faster.
How finance teams build a budgeting and forecasting data app on Snowflake — governed inputs, writeback to Snowflake tables, and Snowpark/Cortex forecasting, all on live data.
Finance analytics workflows turn reporting, budgeting, and forecasting from manual spreadsheets into automated processes. Real examples, use cases, and best practices.
A semantic layer is the translation layer between raw warehouse data and the tools people use it in. Learn how it's built, and why it matters.
