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Reporting your team actually trusts

We take the systems you already operate, model the data properly, agree what each number means, and build reporting on top. Then we keep it running, so the figures hold up when someone asks where they came from.

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What this covers

Reporting your team actually trusts, end to end.

Data audit and source mapping

We list every system that holds numbers you report on, how each one is accessed, what it actually records, and where two systems disagree. You get a written map before anything is built.

Pipelines from your existing systems

Scheduled extracts from your ERP, CRM, finance tool, Shopify store, CMS or database into one place. Incremental where the source allows it, with logging so a failed run is visible, not silent.

Data modelling and a metric layer

Raw tables become clean, documented models. Each metric is defined once, in code, with the filters and exclusions written down, so revenue means the same thing in every report.

Dashboards and scheduled reports

Dashboards built for the people who use them, not for a demo. Plus reports that arrive by email or Slack on a schedule, because most people will not open a dashboard.

Data quality checks

Tests that run with every refresh: row counts, null keys, duplicates, totals against the source system. If a check fails, the dashboard shows it and we hear about it before you do.

Self-serve access and training

Access rules by role, a documented data dictionary, and a working session with your team so they can answer their own questions instead of queuing for a report.

How it runs

Plan. Build. Run.

01

30 minute call

You describe the decisions you cannot make with your current reporting, and which systems hold the data. We tell you plainly whether this is a modelling problem, a tooling problem, or a data quality problem.

02

Fixed scope, timeline and price

We map the sources, agree the first set of metrics and dashboards, and write it down as a fixed scope with a timeline and a price. No hourly billing and no surprises halfway through.

03

Build in visible stages

Pipelines first, then models, then dashboards. You see each stage as it lands and check the numbers against what you already know. Corrections happen early, not at handover.

04

Handover, then run

We hand over documentation, the metric definitions and the code. If you want us to keep it running, the retainer covers monitoring, fixes, changes and a monthly report.

Why infoloop

We do not hand over and leave.

  • We build and we runMost reporting breaks quietly a few months after handover, when a source system changes. We stay on as the team that fixes it, with response targets and a monthly report.
  • We work with the systems you haveNo demand that you replace your ERP or move your finance data first. We connect to what you already operate and improve the model behind it.
  • Definitions before dashboardsReporting is not trusted because it looks good. It is trusted because every number can be traced to a definition and a source. We agree those first.
  • Failures are visiblePipelines are monitored and tested. A broken refresh raises an alert rather than serving yesterday's figures as though they were today's.
  • Fixed price, written scopeYou get a scope, a timeline and a price before the work starts. If the scope changes, we tell you what it costs before we do it.

What you get

Every engagement includes these, in writing, before work starts.

  • A written source map: every system, what it holds, and where two systems disagree
  • Scheduled pipelines with logging and alerts on failed or partial runs
  • Documented data models, version controlled, with the transformation logic readable
  • A metric dictionary defining each figure, its filters and its exclusions
  • Dashboards for the agreed audiences, plus scheduled reports by email or Slack
  • A working session with your team and documentation they can use without us

Who this is for

Three situations where this is the right call.

Two systems, two different numbers

Finance reports one revenue figure, the sales tool reports another, and nobody can say which is right. Meetings turn into arguments about the data instead of decisions. The fix is a single modelled source with definitions everyone has agreed.

Reporting still runs on spreadsheets

Someone spends the first days of each month exporting, pasting and reconciling by hand. It works until they are away, and errors are invisible until a customer or an investor spots one. This is the work we automate first.

You have dashboards nobody opens

A tool was bought, dashboards were built, and the team went back to asking for exports. Usually the numbers were never defined or the data behind them was wrong. We rebuild the layer underneath before touching the charts.

Questions

What buyers ask us first.

What does a business intelligence project cost, and how is it scoped?
We start with a 30 minute call, then map your sources and agree the first set of metrics and dashboards. That becomes a fixed scope with a timeline and a price, written down before any work begins. There is no hourly billing. Cost depends on how many systems we connect, how clean the data in them is, and how many reports you need on day one. A single source with a handful of dashboards is a much smaller piece of work than six systems that disagree with each other. If the scope changes mid-project, we price the change and tell you before doing it.
Do we need to replace our current systems or buy new tools?
No. We build on the systems you already operate. That includes ERPs, CRMs, finance tools, Shopify stores, headless CMS platforms such as Webflow CMS or Strapi, and your own databases. If a system has an API or a database we can reach, we can pull from it. On the reporting side we will use whatever BI tool you already pay for. If you have none, we will recommend one that fits your team and budget rather than the one that suits us, and we will tell you honestly when a scheduled report would serve you better than a dashboard.
How do you make sure the numbers are correct?
Three ways. First, definitions: every metric is written down once, in code, with its filters and exclusions stated, so the same figure cannot mean two things in two reports. Second, tests: each refresh checks row counts, duplicate and null keys, and reconciles totals against the source system. A failed test is visible on the dashboard and raises an alert. Third, review with you: during the build you check each stage against figures you already trust, so disagreements surface early rather than after launch. If a number is wrong, you should be able to trace it to a source in minutes.
What happens after the dashboards go live?
Reporting decays. A source system changes a field, a pipeline starts failing, a definition drifts as the business changes. That is why we offer a managed retainer rather than handing over and leaving. It covers monitoring of the pipelines, fixes with agreed response targets, changes and new reports as you need them, security updates, and a monthly report on what ran, what broke and what we changed. If you would rather run it yourselves, you get the code, the models and the documentation, and you owe us nothing further.
How long does it take before we see anything useful?
We build in stages so you are not waiting until the end to see value. Pipelines come first, then the data models, then dashboards. You review each stage as it lands. In practice the first working report tends to arrive well before the full scope is finished, because we sequence the most important question first and answer that one properly. The overall timeline depends on how many sources are involved and how clean they are. We give you a timeline with the fixed scope, before you commit, rather than an estimate that moves.
Our data is messy and incomplete. Is that a problem?
It is normal and it does not stop the work, but it does shape it. Most reporting problems are data problems wearing a dashboard. During the audit we tell you plainly what is missing, what is duplicated and where two systems disagree, and whether the gap can be fixed in the model or needs a change in how a system is used. Some things we can resolve in the pipeline. Others need a process change at your end, and we will say so rather than quietly papering over it. You will know exactly what your data can and cannot support before you spend money.

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Get reporting your team can rely on

Book a 30 minute call. Tell us which systems hold your numbers and which decisions you cannot make today. You will get a straight answer on what is achievable, followed by a fixed scope, timeline and price.

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