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Data Engineering & Analytics

One set of numbers everyone trusts, updated on its own

Your numbers in one place and dashboards your team trusts, updated automatically instead of rebuilt by hand every Monday.

Good decisions need one version of the numbers. We connect the tools your data lives in, tidy it up, and build dashboards and reports that update on their own, so your team stops copying data between spreadsheets.

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Sound familiar?

  • Reports are rebuilt by hand every week and still disagree.
  • Data sits in a CRM, an accounting tool, spreadsheets and an app database, never in one place.
  • Dashboards exist, but nobody trusts or opens them.
  • Plans to use prediction or AI are stuck because the data is messy and scattered.

What we build

What this covers

  • Automatic data feeds

    Scheduled jobs that copy data from your tools and databases into one place, checked so errors are caught (often called data pipelines or ETL).

  • One central database

    A single database for reporting (a data warehouse, such as BigQuery, Snowflake, Redshift or Postgres), organised around how your business works.

  • Data cleaning

    Duplicates removed, formats made consistent, and every number defined in writing.

  • Dashboards

    Screens that show the five or six numbers each team makes decisions on, kept up to date automatically.

  • Power BI, Tableau and Looker

    Your reporting tool set up properly, with each person seeing the numbers they should.

  • Automated reporting

    Reports that arrive by email or chat on schedule, with no manual work.

  • Cloud setup

    Cloud storage and computing sized to what you need, so the monthly bill stays low.

Try it

An example of what you'd get

Your numbers in one place, updated on their own, with a forecast of where they're heading.

Switch between the views and move along the chart. The numbers are made-up example data, not a client's.

What you could see each morningExample data
ActualForecastLikely range

What you're likely to sell in the coming weeks, with a range to plan around.

Time check

How much time could this save?

Move the sliders to match your team. The answer is simple arithmetic from your own numbers, not a promise.

How it's worked out: people × hours each per week × the share that is repeat work (copying, pasting and rebuilding the same report). The yearly figure assumes 46 working weeks.

How much of that is repeat work?

6 hours a week

276 hours a year

That's the time spent on repeat work that automatic reports could take over. How much of it goes away depends on your tools and data; we check that on a free call.

Talk to us about automating it

What you get

What we hand over

  • Automatic data feeds that alert you if something breaks
  • Written definitions of every number (what counts as a sale, a customer, and so on)
  • Dashboards and scheduled reports
  • A hand-over session for your team

Technology

Tools we use

You don't need to know these. We pick what fits the tools and budget you already have.

Power BITableauLookerdbtAirflowBigQuerySnowflakePostgreSQLPythonSQL

How it works

Three steps, no tech knowledge needed

  1. 1

    Talk to us

    A free 30-minute call. Tell us the problem in your own words; we'll say honestly whether your data can help.

  2. 2

    We build it

    First a small trial on your real data, usually two to four weeks. If it works, we build the full version.

  3. 3

    You use it

    The result shows up in tools your team already uses, and everything we build is yours to keep.

Solutions

Specific problems we solve

Have a problem your data could help with?

Tell us about it. The first 30-minute call is free, we'll tell you honestly what's possible, and there's no obligation.

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