Measure definitions
Clear descriptions of each metric, its source, calculation, frequency, and intended interpretation.
Capability 05
Analytics and reporting that answer a clear question.
Transform validated data into useful measures, dashboards, reports, and explanations for the people making decisions.
What this covers
Connect the data to the decision it supports.
Useful when the data exists but the measures are inconsistent and the dashboards go unread. You get agreed definitions, reporting people trust, and an explanation of what the result means for the decision in front of them.
Typical problems addressed
- Teams produce reports, but key measures are defined differently each time.
- Decision-makers receive tables without the context needed to act.
- Dashboard data requires repeated manual preparation before every update.
- Important quality exceptions are hidden inside averages or totals.
Typical deliverables
Reporting that remains explainable.
The right output may be a dashboard, analytical report, recurring reporting pack, or a combination.
Power BI dashboards
Focused views that help users monitor patterns, compare results, and investigate relevant changes.
Python analysis
Reproducible notebooks or scripts for exploration, transformation, visualisation, and reporting.
Reporting workflow
A documented path from refreshed source data to validated numbers and distributed output.
Exception visibility
Quality notes and operational flags that help users interpret unusual or incomplete results.
Decision narrative
Concise explanations of what the data shows, why it matters, and what requires attention.
Workflow
Design from the audience backwards.
Start with the user and decision, then choose measures and visuals.
Frame
Define the decision, audience, reporting frequency, and questions the output must answer.
Validate
Confirm source quality, calculation rules, and any caveats before presenting results.
Communicate
Build the dashboard or report with a clear hierarchy and concise supporting explanation.
Review
Test interpretation with users and refine measures or views that are unclear or unused.
Relevant evidence
Professional reporting and public project work.
Examples show both business-facing reporting and analytical project methods.
Logos Cloud Services
Power BI and Python dashboards and reports designed to translate client data for non-technical decision-makers.
Stock Market Visualizer
Interactive visual interface for acquiring and charting time-series financial data.
Open live projectHealthcare Cost Analysis
Exploratory analysis examining cost drivers and demographic patterns in medical insurance data.
View repositoryNeed a report people can actually use?
Share the audience, reporting frequency, and the decision the output should support.