Data & Analytics
Mirror
Analytics-to-warehouse BI sync producing one clean dataset.
Scoped in 1 day · delivered in 7 · 28 days of production support · 7 seats / release
What it does
Mirror pulls tracked properties out of your analytics tools and lands them in your warehouse as a single, well-typed dataset. No more reconciling three slightly different definitions of the same metric across tools that each tell a different story.
Schema drift is handled gracefully: when a property is renamed or a new field appears, Mirror maps it into the canonical model and flags the change rather than silently breaking a dashboard. Syncs run on a schedule and write incrementally so warehouse load stays low.
Most teams see a full sync settle into the 2-15 minute range depending on property count and history depth, and downstream dashboards finally agree because they all read from one source. The hard part is naming things once and consistently, which is exactly what Mirror enforces.
How it embeds
The flow, end to end.
Analytics
tracked properties read from your analytics tools
Mapper
fields normalized into a canonical model
Drift check
renamed or new fields flagged
Warehouse
clean dataset written incrementally
Dashboards
every view reads one source
Sample connectors
Configure
Priced on what it costs to run.
Move the slider to your real volume. You see the estimated infrastructure cost itemized, our flat fee on top, and the one-time setup — no markup hidden in a per-seat license.
Configure your volume
Infrastructure (estimated)
$2,050 one-time setup — configuration, testing, documentation & go-live support.
Comparable vendor: $300/mo · 40% less than market rate.
7 seats per release · cancel anytime · no lock-in
Ask the specialist
Anything about this automation.
Ask anything about this automation — how it connects, what it costs to run, where it fits.
Schedule a demo
See it running in your environment.
30 minutes. We walk a live configuration against your actual systems. You leave with a scoped plan and a fixed quote.