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

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.

Cássia Magalhães

What sets my work apart

Governance as a strategic foundation

Reliable data is not just a technical output. It is a management asset.

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.

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Services

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.

Cases

Case Studies

National Tax Authority — Africa

Design of a structured data platform and internal capability-building approach.

Improved information reliability and stronger analytical autonomy across teams.

Telecommunications — Europe

Control and monitoring of partner incentive performance and reporting consistency.

Greater transparency and improved detection of data inconsistencies.

Digital Health Services — Portugal

Structured analysis of platform usage and operational information flows.

Better visibility into usage patterns and stronger support for operational decisions.

Automotive Industry — Europe

Data consolidation and performance reporting across business-critical processes.

More consistent support for strategic analysis and decision-making.
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.