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Trusted by 200+ businesses

Data Analytics

Most companies do not lack data — they have it spread across an e-commerce platform, an accounting package, ad dashboards and a set of spreadsheets that no longer agree with each other. We bring those sources together and build reporting that answers the questions management is actually asking.

Google — Zeisoft partneri
Meta Business — Zeisoft partneri
ikas — Zeisoft partneri
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IdeaSoft — Zeisoft partneri
Sentos — Zeisoft partneri

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Consolidating data from separate systems

One number, one meaning

When three systems each report revenue differently, meetings turn into arguments about whose figure is right. The first job is agreeing definitions — what counts as an order, when revenue is recognised, how returns and cancellations are treated — and then enforcing those definitions in one place.

Agreed metric definitions

Data consolidated from all sources

Automatic refresh instead of manual exports

A single reference everyone uses

Decision-focused KPI dashboard

Built for decisions, not decoration

A dashboard with forty charts gets opened twice and then ignored. We build reporting around the decisions it exists to support: what to stock, where to spend, which channel to expand. Everything that does not serve a decision gets left out.

KPI screens tied to real decisions

Channel and product level breakdown

Scheduled reports where they are useful

Training so the team can use it

The reporting problem in practice

The pattern repeats across companies of very different sizes. Someone spends the first two days of each month pulling exports from several systems, pasting them into a spreadsheet and reconciling the differences by hand. The resulting report is out of date by the time it circulates, and nobody fully trusts it because the reconciliation involved judgement calls.

The fix is not a better spreadsheet. It is agreeing what the numbers mean and then producing them automatically.

What we build

Data consolidation. Sales, orders, stock, advertising and finance data brought into one place on a schedule rather than by hand.

Metric definitions. Written down and applied consistently, so the same term means the same thing in every report.

KPI screens. Built around the decisions they support, at the level of detail the person making that decision needs.

Handover. Documentation and training, so the reporting does not depend on us being available.

Spending your week building reports by hand?

Tell us which numbers you chase and where they currently live.

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Average response time: 4 hours

Frequently Asked Questions About Data Analytics

Browse our frequently asked questions to find the best solution for your business

Usually not. The reporting layer sits on top of what you already run and reads from it. Replacing a working system is only worth discussing when it holds data in a way nothing else can access, which is rare.
Either side can. Some clients want the dashboards handed over with training so their team owns them; others prefer we keep extending the reporting as needs change. We set expectations on this before the project starts.
Volume matters less than fragmentation. A company with modest sales spread across four disconnected systems benefits immediately, while a larger business running everything in one platform may already have what it needs. The question is how much manual work currently goes into producing a straight answer.
Yes, and it is one of the more valuable connections. Ad spend sitting next to actual revenue — rather than platform-reported conversions — changes budget decisions. This works best alongside properly configured tracking infrastructure.