Used For

• +**Your customers call support asking for custom reports every week** → They get self-service dashboards and stop bothering your team
• +**You're manually creating different data views for each customer** → Multi-tenant setup shows each customer only their data automatically
• +**Your dashboards look like Excel threw up** → AI assistant generates insights in plain English instead of confusing charts
• +Semantic data layer - define "revenue" once and it means the same thing in every report across every customer
• +Natural language queries - customers ask "show me sales by region" instead of learning your interface

Best For

• >Your SaaS customers keep asking for dashboards and you're tired of building custom reports
• >You have 100+ customers who each need their own data views without seeing each other's stuff
• >Your data team is drowning in "can you just add one more chart" requests

Not For

• -Solo founders or teams under 50 people — the complexity and enterprise pricing aren't justified until you have paying customers demanding analytics
• -Anyone wanting simple plug-and-play — you need someone who understands data architecture or you'll be lost in semantic model hell
• -Companies needing pixel-perfect design matching — the dashboards will always look recognizably like GoodData, not your brand

Pairs With

• *Snowflake (where your customer data actually lives since GoodData doesn't store raw data)
• *dbt (to clean up your messy data before GoodData tries to make sense of it)
• *Slack (where your team celebrates not having to build another custom dashboard)
• *Stripe (to track subscription metrics that your SaaS customers actually care about)
• *PostgreSQL (your main database that feeds into the analytics without breaking your app performance)
• *GitHub (for version controlling your analytics models because apparently dashboards need CI/CD now)

The Catch

• !No transparent pricing and no free trial — you're stuck in enterprise sales hell just to learn what it costs
• !Dashboards run in iframes which limits how deeply you can integrate with your product's UI and routing
• !You need at least one person who understands SQL and data modeling or the semantic layer becomes a bottleneck nightmare

Bottom Line

Enterprise-grade analytics embedding that costs enterprise prices even for mid-size teams.