Governance as a strategic foundation
Reliable data is not just a technical output. It is a management asset.
Turn complex data into strategic clarity.
Senior Business Intelligence consulting for organisations that need more structure, consistency, and confidence in the way they use data.
I design data models, dashboards, and reporting frameworks that strengthen information reliability and support better decision-making across the business.
- ✓ Experience in international corporate environments and complex organisational contexts.
- ✓ BI, reporting, and data governance projects designed to support decision-making.
- ✓ Structured solutions built to withstand changes in teams, systems, and processes.
About CMBI Solutions
I help organisations turn complex data into clear, reliable, and decision-ready information that supports better business performance.
With experience in international corporate environments, including Toyota Motor Europe, I design BI solutions that strengthen reporting, governance, and long-term operational continuity.
What sets my work apart
Executive decision support
Every metric, indicator, and dashboard is designed with a clear decision-making purpose.
Operational continuity
Sustainable, well-documented solutions designed for long-term business use.
What I offer
Business Intelligence, Analytics, and decision-ready dashboards
I build end-to-end BI solutions that turn fragmented data into structured, reliable, and actionable information aligned with business priorities.
Data Analytics
Data analysis to uncover patterns, risks, and opportunities that support stronger strategic decisions.
Reporting and Dashboards
Executive and operational dashboards built for clarity, focus, and practical management impact.
Data Governance and Quality
Structures and practices that ensure consistency, traceability, and trust in business information.
Audit and Optimisation of Existing Solutions
Review of current models, reports, and architectures to improve efficiency, reliability, and sustainability.
Case Studies
Zambia Revenue Authority
Design of a structured BI and reporting platform for tax and revenue operations.
Improved reporting reliability and analytical consistency across teams.Telecom Incentive Analytics
Performance monitoring and commission validation for telecom incentive programmes.
Improved transparency and faster detection of reporting inconsistencies.Public Health Analytics
Operational reporting and service usage analysis for large-scale healthcare platforms.
Improved visibility into usage patterns and operational performance.Automotive After-Sales Analytics
Performance reporting and operational analytics supporting business-critical After-Sales operations.
Improved reporting consistency and strategic decision-making support.
Framework
The BI Framework
A structured approach to data governance and reporting excellence.
Diagnostic assessment and strategic framing
Data structuring and modelling
Decision-oriented dashboard development
Implementation of governance best practices
Executive delivery and stakeholder validation
Documentation and operational continuity
FAQ
Frequently Asked Questions
Answers to common questions about structuring data to support strategic decisions and operational continuity.
When there are multiple versions of the same metric, heavy reliance on manual files, inconsistent dashboards across departments, or difficulty explaining how numbers are calculated. If confidence in the data is being questioned, structure and governance are needed.
A dashboard supports executive decision-making when it is aligned with strategic goals, presents consistent and traceable metrics, enables fast interpretation, and helps drive concrete decisions rather than simply monitoring activity.
A technical project delivers reports. A strategic intervention structures the data model, defines critical metrics, aligns stakeholders, and ensures information supports management decisions in a consistent and sustainable way.
Through structured models, clearly defined metrics and calculation rules, governance best practices, and knowledge transfer to internal teams. Continuity should not depend on one person, but on the robustness of the solution.