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Data pipelines, cleaning, dashboards, business intelligence and predictive analytics — built on one agreed definition of each number, so two departments stop arriving with different figures.
Most reporting problems are definition problems wearing a technical costume. Sales says revenue is one number, finance says it is another, and both are reading correctly from systems that count returns, tax and unfulfilled orders differently. No dashboard fixes that. Agreeing the definition does, and then the dashboard is straightforward.
So the first deliverable here is usually a written metric definition — what counts, what is excluded, which date field decides the period — signed off by the people who will argue about it later. After that, the pipeline and the dashboard are ordinary engineering.
Written down and signed off before anything is built, which is what ends the two-versions-of-revenue argument.
POS, ERP, accounting, CRM and spreadsheets pulled into one warehouse that you own.
A feed that stops or a value that goes out of range raises an alert instead of quietly reporting zero.
Branch, department and board views built separately, because they are different questions.
The recurring pack generated, checked and delivered without anyone rebuilding it on Monday.
Predictive analytics when the history supports it, and a plain average when it does not.
From whatever you already run: the POS, the ERP, the accounting package, the CRM, the eleven spreadsheets. Consolidation is normally the job, not a preliminary to it.
Dashboard design is a real constraint here rather than a decoration. The rules are dull and they are why people use the thing.
We build the pipelines, the definitions, the dashboards and the forecasts. We do not licence third-party BI platforms on your behalf, we do not guarantee that an insight exists in your data, and keeping the data clean at source stays with your team unless it is contracted. A pipeline cannot invent a field the till was never configured to record.
A business whose numbers live in several systems, such as a POS, an ERP, an accounting package, a CRM and a collection of spreadsheets, and whose departments arrive at the same meeting with different figures for the same thing.
It suits multi-branch operations in particular, where a branch manager and a director need different views of the same data, and where someone currently rebuilds the weekly pack by hand.
Straight answers, including the ones that rule us out.
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