A Multi-Unit Restaurant Data Lake with Sales Tied to the Penny

For a multi-unit restaurant operator, we built the data foundation first: a data lake in the client's own cloud that lands every source daily and ties point-of-sale sales to the general ledger to the penny.

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Restaurants and Multi-Unit Operations Data Lake

The Challenge

A multi-unit restaurant operator ran every location across separate systems: point-of-sale in one, labor and scheduling in another, payroll and accounting in others. The owner wanted forecasting and store-level insight, built on numbers that tie out across every system.

Our Approach

Before building any analytics, we built the foundation. We built a data lake in the client's own Microsoft cloud that lands every source on a daily schedule, cleans it into one set of store and account definitions, and reconciles it automatically: sales against the general ledger, labor against payroll. Only once the data tied out did we build the analytics and forecasting on top.

The Outcome

Point-of-sale sales tie to the accounting system to the penny: 3,020 of 3,020 store-days in the first period checked
An automated pipeline lands and reconciles the data every morning with no one touching it
Labor compliance flags surface by store
The client owns all of it in its own cloud
Rolling out: a sales and labor forecast that matches the owner's own forecasting method within about 4%
Rolling out: labor-to-payroll reconciliation by store, with the likely reason for each gap
Data LakeReconciliationMulti-Unit

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