Data Analysis & Performance Metrics

Turn operational data into decisions leadership can act on.

Overview

Reporting that nobody trusts is worse than no reporting at all. I define the measures that actually reflect performance, source them properly, and present them so decisions become obvious.

The work covers metric definition, data quality assessment, analysis of trends and variances, and dashboard design your teams will keep using after I leave.

What you receive

  • KPI framework with definitions, owners, targets and data sources
  • Data quality assessment and remediation priorities
  • Trend, variance and root-cause analysis of current performance
  • Dashboard design and specification (Power BI, Tableau or Looker)
  • Management reporting pack and commentary template
  • Handover session so your team can maintain the reporting

Outcomes you can expect

  • One version of the truth across departments
  • Leadership reviews driven by evidence rather than opinion
  • Earlier warning on cost, capacity and delivery risk
  • Less manual effort spent assembling monthly reports

How the engagement runs

  1. 01 — Frame

    Agree the decisions the reporting must support, then work backwards.

  2. 02 — Assess

    Profile the data, expose quality gaps and confirm reliable sources.

  3. 03 — Analyse

    Trend, variance and driver analysis against agreed measures.

  4. 04 — Embed

    Dashboard build support, documentation and team handover.