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Reinstate Labs

Data & Analytics

Live dashboards and one trusted view of business data.

Analytics dashboard with charts, database and insight cards

One set of numbers everyone trusts

Who it’s for

  • Reports are built by hand from exports every week or month.
  • Two reports for the same period show different numbers.
  • Managers can't see production, sales or operations status without asking someone.
  • You want to use your data for forecasting or AI, but it is spread across tools.

Data and analytics work collects data from a business's tools into one trusted place and turns it into dashboards, reports and alerts that people use to make decisions.

When every tool holds a different version of the truth, meetings turn into arguments about whose numbers are right. We bring the data together so there is one view everyone trusts.

The work starts with definitions: what counts as an order, a completed job, an active customer. Then the data is collected automatically, checked, and shown in a small number of views built for the people who read them.

The result is live dashboards and alerts that show how the business is doing today, not last month.

Problems data & analytics solves

  • Manual exports and copy-paste reporting

    Pipelines that collect data from your tools automatically.

  • Conflicting numbers

    Agreed definitions and one central store that every report reads from.

  • Problems found too late

    Live dashboards and alerts when a number moves or data stops arriving.

  • Data nobody trusts

    Quality checks for duplicates, gaps and inconsistent values before data reaches a report.

What data & analytics work includes

  • Automatic data collection

    Pipelines that pull data from your tools automatically, with no manual exports.

  • Central data warehouse

    A central warehouse that gives every report the same clean source.

  • Live performance reports

    Dashboards that update on their own and answer the questions your team asks every week.

  • Team metrics & KPI tracking

    KPI tracking for teams and the business, defined clearly and measured consistently.

  • Data error alerts

    Alerts when data stops arriving or looks wrong, before it reaches a report.

How a data project runs

  1. 01

    Agree the questions

    We start with the decisions you need to make and the numbers behind them.

  2. 02

    Connect the sources

    Automatic collection from your tools into one central, well-modelled store.

  3. 03

    Build the views

    Dashboards and reports designed for the people who will read them daily.

  4. 04

    Watch the quality

    Monitoring and alerts so the data stays correct as your tools change.

Common questions

Which tools can you connect?

Most tools with an API or a regular export: CRMs, accounting software, e-commerce platforms, ad platforms, databases and spreadsheets.

Do we need a data team to run this?

No. The dashboards are built for non-technical staff, and how the data flows is documented.

How fresh is the data?

It depends on the need and the source. Some views refresh within minutes; others are fine on a daily schedule.

Can you clean up our existing data?

Yes. Fixing duplicates and inconsistencies is a normal part of setting up a trusted source.

Start a project

Have an idea worth building?

Let’s turn your goals into a working, scalable system.