Lattice — One platform, six dashboards retired
Lattice's analysts answered the same five questions every week, in five different tools, with five different answers. We built a single source of truth — a real-time analytics platform with a conversational co-pilot that queries the warehouse directly and shows its work.
This brand is illustrative — not a paying client. The architecture, stack, and approach below are the real playbook we'd use to ship this engagement. Named-client case studies replace these as paying engagements ship.
What we walked into.
Six homegrown dashboards across three departments, each with its own definition of 'active customer'. Executive meetings devolved into definition fights. The team needed a unified platform with role-based views and a query layer junior analysts couldn't accidentally bring down.
How we built it.
- 01
Standardized the semantic layer with dbt + LookML-style metric definitions; every chart traces back to a typed metric
- 02
Built a RAG-powered SQL co-pilot — analysts type plain English, see the generated SQL, click to run, and the answer streams back with citations
- 03
Implemented row-level security through Postgres RLS so the same dashboard renders different data per role with zero application logic
- 04
Migrated read traffic to ClickHouse for sub-second dashboards on 4-billion-row event tables
- 05
Replaced six dashboards with a single React workspace; analysts pin queries, share notebooks, and ship insights in one tool
What changed for the business.
Six internal tools retired; one platform replaced them all
Time-to-insight dropped from hours to seconds for the top 80% of recurring questions
Junior analyst output 13× higher within four weeks of launch
Zero data incidents in the first quarter post-launch (vs. 9 in the previous quarter)
Built with.
"We've replaced six tools and a quarterly definition argument with one platform and a co-pilot that actually understands our schema. It's a different company now."
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