Situation
Client dashboard work involves private organizations, internal metrics, and source data that cannot be published, but the underlying capability is still demonstrable without exposing it.
Data Analytics
Private analytical dashboards built from client data, operational workflows, stakeholder questions, and recurring reporting needs.

Why it matters
My role
Client dashboard work involves private organizations, internal metrics, and source data that cannot be published, but the underlying capability is still demonstrable without exposing it.
Deliver decision-focused dashboards for real client stakeholders while fully respecting confidentiality: no screens, metrics, or source data leave the engagement.
Client-specific reporting was converted into reusable, controlled decision support, demonstrating requirements analysis, data preparation, dashboard development, and stakeholder communication without exposing any confidential information.
Technical implementation
Each layer connects an implementation choice to the decision or workflow it supports.
05 layers| Layer | Implementation | Operational purpose |
|---|---|---|
| Requirements | Stakeholder interviews, workflow mapping and decision-question definition | Build reports around actual recurring decisions |
| Data preparation | Private-source cleaning, validation, reconciliation and controlled transformations | Create dependable analytical inputs without exposing client data |
| Modelling | Reusable dimensions, relationships, measures and KPI definitions | Keep metrics consistent across pages and reporting periods |
| Reporting | Power BI and Excel dashboards designed around audience-specific actions | Turn recurring manual reporting into accessible decision support |
| Governance | Confidentiality-aware delivery, access boundaries and non-public evidence | Demonstrate professional client work while protecting organizations and data |