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Every aggregator dashboard tells you how that marketplace performed. Your app vendor has another slice. Finance still wants the POS report. Consolidated analytics is the commercial answer: how did we do everywhere, with the same definitions and time ranges.

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The pain without consolidation

ScenarioCost to the business
Monday morning spreadsheet mergeHours lost; errors in channel attribution
“Delivery is up” but margin is downCannot see owned vs aggregator mix quickly
Store manager swears kiosk is winningNo cross-channel view by location
Marketing cannot prove a test workedTest data trapped per platform
Fire spark already routes all channel orders through one hub. Analytics becomes a natural extension — same orders, same stores, same channel labels.

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What you can see together

DimensionQuestions it answers
ChannelApp vs Uber Eats vs web — volume, ticket, growth
StoreWhich locations over-index on delivery vs pickup
Menu / categoryWhat sells where after a composition change
FulfillmentDelivery fee impact, pickup share, custom types
TimeLunch peak across channels; promo lift windows
This supports commercial decisions, not only finance close: where to invest app spend, which aggregator to prioritize, which store needs operational help.

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How it fits your workflow

  1. Operate normally — Orders flow POS ← Fire spark ← channels.
  2. Review in one place — Marketing and ops align on the same numbers.
  3. Act — Adjust menu composition, shift promos, or fix a store-channel mismatch.
Pair analytics with menus A/B testing to close the loop: hypothesis → result → rollout.

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Reassurance

You are not exporting CSVs from five portals every week. You are not re-keying revenue into a master sheet. The hub that syncs menus and routes orders is the same hub that makes performance readable across the network.

Orders

Unified order model across channels

Real-time monitoring

Live operational visibility

Omnichannel strategy

Plan channel mix with data