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Reporting and dashboards

Dashboards built on combined data from infrastructure, applications and finance, with each metric defined once, so engineering and finance work from the same figures. Scheduled pipelines keep the data current, and figures are spot-checked before a dashboard goes live.

Describe what you need

What you get

  • Dashboards for engineering, operations, finance and management, with access set per audience
  • Written metric definitions: what each measures, its source and its calculation
  • Scheduled pipelines that collect and process data from applications, infrastructure and finance
  • A map of the data sources and how they combine
  • Spot checks of the key figures against ground truth before release

How it works

  1. 01

    Map the data sources

    We identify where each figure comes from and how the sources should be combined, including data nobody collects yet.

  2. 02

    Define the metrics

    We agree which metrics describe how operations run and write down how each is calculated.

  3. 03

    Build the pipelines

    We build scheduled pipelines that collect and process data from applications, infrastructure and finance.

  4. 04

    Design and validate dashboards

    Views are built in the dashboard tool that fits the environment, for example Grafana. Their figures are spot-checked before release.

  5. 05

    Set up access

    Engineering, operations, finance and management each get access to the views they need.

Problems it solves

  • ProblemThe finance tool and the operations tool report different figures for the same thing, and nobody knows which is right.

    SolutionEach metric gets one written definition: what it measures, its source and how it is calculated. Engineering and finance then work from the same figures.

  • ProblemDashboards were built once and not maintained, so the figures went stale and nobody trusts them.

    SolutionBefore a dashboard goes live, its figures are spot-checked against ground truth, and scheduled pipelines keep the data current.

  • ProblemThe data is there, but finding the figure that matters takes half an hour of clicking through screens.

    SolutionEach dashboard is designed for one audience, such as operations or finance, and shows trends, anomalies and bottlenecks first.

  • ProblemSomeone assembles a weekly spreadsheet from six sources by hand, and it is always slightly off and a day late.

    SolutionPipelines collect the same figures on a schedule, so the manual report disappears or shrinks to a brief sanity check.

What it covers

  • For exampleGrafana, Power BI, Metabase
  • Access to the views each team needs
  • For examplePrometheus, Loki, Tempo
  • Finance data combined with technical data
  • Scheduled data pipelines
  • One written definition per metric
  • Figures spot-checked before release
  • Trends, anomalies and bottlenecks shown first
Typical scope

Typical engagements run 2–6 weeks, depending on how many data sources are involved, how clean the data is at the start, and how much consolidation the figures need.

Next step

Send a short description of what you need and the systems involved. We reply with proposed next steps.

Describe what you need