About the Client

A leading Healthcare & Wellness Major operating across multiple clinical and operational facilities across the Americas. Operating at a scale where data is the operational backbone, the organization found itself caught between a strong patient-facing motive and an infrastructure that couldn't keep up. Fragmented systems, inconsistent reporting, and a widening gap between the insights leadership needed and what the technology could deliver made one thing clear: the data foundation needed to change.

The Challenge

Across departments, teams were working from different data, arriving at different conclusions. The BI environment was stunted, dashboards were slow to refresh, and a Tableau-based reporting setup was becoming increasingly expensive to maintain and impossible to scale. There was need for data governance, for lineage visibility, and a unified strategy to bring it all together. For an organization making clinical and operational decisions, fragmented data was quietly becoming a risk to the business itself.

The Solution

Cloud4C came in to build what was missing. The engagement spanned the full data stack: establishing a centralized Azure Data Lake, automating ingestion from clinical and business systems, rebuilding the BI layer with optimized pipelines, implementing enterprise-grade governance, and executing a phased migration from Tableau to Power BI. Alongside the technical delivery, Cloud4C defined a data strategy and modernization roadmap aligned to the organization's broader business goals. The result was a governed, reliable, and scalable analytics foundation, with a clear direction for what comes next.

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The Solution

Cloud4C came in to build what was missing. The engagement spanned the full data stack: establishing a centralized Azure Data Lake, automating ingestion from clinical and business systems, rebuilding the BI layer with optimized pipelines, implementing enterprise-grade governance, and executing a phased migration from Tableau to Power BI. Alongside the technical delivery, Cloud4C defined a data strategy and modernization roadmap aligned to the organization's broader business goals. The result was a governed, reliable, and scalable analytics foundation, with a clear direction for what comes next.

THE RESULT

35-45% improvement in dashboard performance

35-45% improvement in dashboard performance

99% BU refresh success rate

>99% BU refresh success rate

incident detection and resolution timelines

<30 minutes incident detection and resolution timelines

adoption of analytics platforms

25% improvement in user adoption of analytics platforms

reduction in report maintenance

50% reduction in report maintenance efforts

manual monitoring effort eliminated

15-20 hours of manual monitoring effort eliminated