Rachel van der Lugt
Founding Enterprise GTM at Basedash
Rachel van der Lugt is founding enterprise GTM at Basedash, where she leads enterprise go-to-market for an AI-native business intelligence platform. Her work focuses on helping larger teams evaluate, adopt, and roll out Basedash for governed analytics across the organization.
Posts by Rachel van der Lugt
Best dashboard software for small businesses in 2026: 9 tools compared on price, setup time, and data sources
Data Studio is free, Zoho Analytics starts at $24/mo, and Databox and Geckoboard connect QuickBooks and Shopify in minutes. Compare 9 small business tools.
Snowflake masking and row access policies in BI tools: which ones enforce them per viewer (2026)
Sigma, Omni, ThoughtSpot, Tableau, and Looker can query Snowflake as each viewer so masking policies apply per person; Power BI, Metabase, and Basedash differ.
Best AI BI tools for Salesforce and Snowflake data: native connectors, zero-ETL paths, and live queries compared (2026)
Tableau, CRM Analytics, Power BI, Domo, and Zoho read Salesforce directly; Sigma, ThoughtSpot, and Basedash need it in Snowflake first. Compare joins and price.
Best BI tools for SaaS companies with a small data team (2026)
Metabase, Sigma, Omni, Basedash, Hex, and Mixpanel fit SaaS teams with a one-person data team. Compare Stripe and CRM data, RLS, SSO, AI, and 25-user cost.
Best cloud-native BI tools in 2026: 8 browser-based platforms that query your warehouse live
Sigma, Omni, Looker, ThoughtSpot, Hex, and Basedash run in the browser and query your warehouse live. Compare their pricing, RLS, SSO, AI, and embedding.
Conversational analytics in BI tools: how ThoughtSpot, Power BI, Tableau, Looker, and Qlik compare in 2026
ThoughtSpot, Looker, Power BI, Tableau, Qlik, Sigma, Genie, and Basedash all let users chat with data, but differ on grounding, visible SQL, RLS, and cost.
SQL for data analysis: a practical guide to the queries that do the work
SQL for data analysis means using a small set of query patterns to answer real questions from data. Learn the essential functions, patterns, and when to stop.