Single repository for the operation
Sales, inventory, tax, and service in the same place, with the same structure.
Platform · Data layer
Data Lake
The data belongs to the chain, not to the system that generated it.
The challenge
In a chain, data is born scattered: one piece in the POS, another in the ERP, another in delivery, another in tax — each in its own format. Asking a question that crosses two of them turns into an IT project, and the answer arrives after the decision has already passed.
What this costs
The data the operation generates every day doesn't become information. Every new analysis depends on the IT queue. And, ultimately, the chain doesn't own its own data: it's locked into each vendor's format, and switching a system means risking the loss of the entire history.
Everything the operation generates lands in a single repository, structured and versioned, and from there feeds into the BI tool the chain already uses. Data stops being scattered across systems and becomes an asset of the chain — queryable, historical, and under the client's control.
Layer 03
Ecosystem and data
It's the foundation of the data layer: it receives what the operation and the platform produce, organizes it in a single place, and feeds analytics and the customer's corporate BI.
What this delivers
Structured, versioned data
Ready to query, without depending on a manual export from each system.
Output to the customer's BI
The data feeds the BI tool the chain already uses — Looker, Power BI, Tableau, or another — instead of locking the analysis in.
History with no purging
The full series remains available, which supports period comparison and seasonality analysis.
Item- and transaction-level granularity
The data goes down to the level of the item sold and the transaction, not just the day's total.
Foundation for the client's models
An organized repository is the prerequisite for any forecast or model the chain wants to build.
Conversation with
- BI
- Corporate ERP
- Certified acquirers
Where it applies
Frequently asked questions
Does the Data Lake replace my BI tool?
No — it feeds the one you already have. The repository organizes the data and delivers it to the corporate BI, whether Looker, Power BI, Tableau, or Qlik. Analysis stays where the chain already knows how to work.
What technology does the repository run on?
The Data Lake is built on BigQuery, from Google Cloud. Client access goes out through connectors for Power BI, Tableau, and other tools, and there is integration with SharePoint on Azure when the chain already works there.
Whose data is it?
The chain's. The purpose of the Data Lake is precisely to free the data from the format lock-in of each vendor and make it queryable and exportable by the customer.
What data goes into the repository?
What the operation and the platform generate — sales, inventory, recipe cards, tax, and service —, at the item and transaction level, with history preserved.
Talk to a specialist
Your operation has grown. Is your technology ready?
How many locations, what stack is already running, what needs to be integrated, and what the rollout would look like.
