To modernize reporting, streamline data operations, and empower internal teams, our client needed to completely revamp their analytics setup while also upskilling staff along the way. But with outdated systems, limited resources, and tightening compliance requirements, they quickly realized they needed external expertise to drive an end-to-end analytics transformation, without slowing down day-to-day operations.
Data was scattered across multiple internal systems—Dynamics 365, MIS, HR, and Payroll, making it difficult to consolidate and analyze information efficiently.
The internal teams had minimal experience with advanced analytics and Power BI-based reporting, limiting their ability to extract meaningful insights from data.
Without a single source of truth, reporting pipelines were manual, inconsistent, and prone to errors.
From ETL processes to SQL, Power BI, and DAX, the client lacked in-house capabilities to design and maintain a modern analytics ecosystem.
Regulatory demands required faster, standardized, and fully auditable financial and operational reporting, something the existing setup couldn’t deliver at speed.
Delivery expectations were aggressive, making conventional hiring or long training cycles impractical.
To meet the client’s needs, we assembled a dedicated team of three Data Analysts, a DevOps Engineer, a QA Engineer, a Power BI Developer, and a Project Manager. Together, we built internal capability for sustained analytics.
We brought together data from ERP, HR, MIS, and payroll systems using Azure Data Factory, then stored it securely in a centralized Azure Data Lake and SQL-based Data Warehouse. The medallion architecture approach ensured clean, structured, and scalable data layers for all downstream analytics.
Using Power BI, DAX, and SQL, we developed descriptive and diagnostic models that automated insights into financial performance, grant management, and workforce operations, replacing slow manual processes with real-time, interactive dashboards.
We built ML-based forecasting models to simulate scenarios, optimize budget planning, and predict outcomes across grant cycles and operational KPIs, turning strategy into a more data-driven exercise.
To make the transformation stick together, we ran a hands-on skills transfer program with instructor-led workshops, detailed training handbooks, post-training mentorship, and on-demand video tutorials for internal teams to manage and extend the solution independently.
Every component was built to meet POPIA/GDPR standards, with role-based access controls (RBAC), full data encryption, secure API integrations, and detailed audit logging for complete transparency.
Wireframing & UI/UX Design
Power BI Dashboard Development
Testing & Deployment
Automation pipelines and real-time dashboards cut manual reporting effort by 65%, freeing up valuable analyst time for strategic tasks.
Audit-ready reporting and AI-driven insights improved financial visibility by 80%, enabling clear, accountable decision-making across departments.
Over 1,000 hours of targeted training empowered internal teams to build, manage, and optimize analytics workflows independently.
End-to-end data handling maintained 100% compliance with national data protection standards, reducing legal and operational risks.
Role-based, real-time KPI access accelerated decision-making by 40%, ensuring leadership could act on insights without delay.
With the implemented solutions, the client not only modernized their data infrastructure but also embedded a culture of self-reliance, compliance, and agility.
Government & Public Sector
Africa
Staff/Resource Augmentation
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