The SaaSpocalypse:How to Win in the Next Decade
Luke Stanke · Marketing Leader, Sigma · Big Data LDN 2026
The way we analyse and build is fundamentally changing
What it takes to bring an app into production
What it takes to run a generated dashboard in production
$ $
build it once
Dashboard/App
Initial build
Other core requirements
The enterprise runtime layer
The basics
- Exports & delivery
- Permissions & access
Platform work
- Version history & rollback
- Scheduled refresh & delivery
- Governed data models
- Hosting & infrastructure
- Caching & query optimization
- Governed writeback
- Monitoring & usage stats
Shipping it
- PR review on every change
- GitHub governance to maintain
- Ships only through the IT queue
$ $ $ $ $
run it forever
1Your experts are building software without asking
2Building it takes an afternoon; running it takes a team
3Put the controls in the tools and nobody waits for IT
Thank you
Appendix
Ad hoc analysis
Repeatable analysis
Applications
Automation
Before AI
Spreadsheets and one-off queries
BI dashboards
Off-the-shelf software
RPA
Now
Chat
Vibe-coding
Agents
What breaks
Answers vanish when the chat ends
Apps drift from the source of truth and skip governance
Agents act without oversight
With Sigma
Chat answers that become saved, governed workbooks
AI Apps built on live warehouse data with governance built in
Agents that answer to you
1How many of you have vibe-coded a dashboard or an app?
2…put that vibe-coded dashboard or app into production?
3…put tight security controls behind it?
4What happens when you scale this to everyone at your company?
✗
Strikes
LS
Recents
- Free trial data tables for analysis
- Sigma workbook and team usage t…
- Free trial data tables in Sigma
- Closed lost deals by sales rep
- Daily form fill counts
The SaaSpocalypse: How to Win in the Next Decade
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