Minibytez
Analytics & Reporting

One version of the numbers.

One set of numbers, live, that everyone agrees with.

The problem

Reporting usually fails for structural reasons. Data sits in systems that were never meant to be combined, departments define the same metric differently, and the management pack is out of date before the meeting starts.

What we build

The data layer first, then the dashboards. Sales, operations, finance and marketing data brought together with agreed definitions, so the figures reconcile and the answer to "why?" is one click away.

Key capabilities

Scope is agreed per project. Most companies start with the two or three parts that remove the most manual work, then extend.

  • Management dashboards

    The figures leadership steers by, live, on desktop and mobile.

  • Operational dashboards

    Team-level views of today’s workload, exceptions and performance against target.

  • Drill-through

    Every number traceable to the records behind it, so a surprise can be investigated immediately.

  • Data integration

    One modelled store fed from each source system, with each metric defined once.

  • Scheduled reporting and alerts

    Reports on a schedule, and notifications when a figure crosses a threshold.

  • Forecasting

    Trends, seasonality, cohort retention and forward projections on the same governed data.

Integrations

Built to connect with the systems you already run, rather than replacing them by default.

  • CRM and membership platforms
  • Payment and accounting systems
  • Advertising platforms
  • Operations systems
  • Communications platforms
  • Existing spreadsheets and exports

What changes

No percentages are published here. We report results from your own system once it is running.

  • Meetings argue about the decision, not about whose number is right
  • The management pack becomes a live link
  • Problems are noticed in-month rather than in arrears
  • Forecasting is grounded in operating data rather than instinct

How it is built

The detail that decides whether the system is still dependable in three years.

Our engineering approach
  • Incremental, re-runnable pipelines from each source system
  • A single semantic layer where every metric is defined once and reused
  • Data quality tests on freshness and completeness, alerting on failure
  • Aggregation tuned so dashboards load in well under a second

Thinking about analytics & reporting?

Tell us what the process looks like today and where it breaks. We will tell you what we would build, in what order, and roughly what it takes.

Tell us what your business is trying to do.

The first conversation is about your operation, not our services. If we are not the right fit, we will say so.

A few sentences is enough. Please do not include passwords, card details or personal data about your customers.