Services
Data Analytics
Reports become useful when teams agree what the numbers mean.
Data Analytics
Connect the information to a useful decision
We work through the source data, metric definitions and questions behind a report before building the analysis. The aim is to give people information they can trace and use in a real decision, with limits and assumptions made clear.
Questions behind the data
- KPI & metric definition workshops
- Interactive dashboard development
- Ad-hoc reporting & analysis
- Data storytelling & visualization
- Self-service analytics enablement
In practice
Data Analytics: a practical example
Take a question the team currently answers by collecting several spreadsheets. Identify the records needed, agree definitions and inspect a sample for gaps. Present the result with its assumptions and let the process owner verify the interpretation against cases they understand.
An illustrative scenario to discuss when planning your project.