Leading Healthcare Conglomerate – Data Transformation to Cloud
Healthcare
Middle East
Azure Databricks, Azure Data Factory, Azure Synapse
Data Transformation to Cloud
Consolidating data from multiple on-premises source transaction systems and making it ready for consumption by business departments. Standardised, transformed, and visualised datasets were delivered for patient visits, revenue, and the rejection cycle for the client's hospital, clinic, and pharmacy operations.
Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.
The current solution operated on an on-premises infrastructure, and migrating to a cloud-based landscape was necessary to enable scalability, reliability, and future data use cases.
As the organisation depended heavily on its existing data infrastructure, a parallel, scalable cloud environment had to be built without impacting live business operations.
All assets operated with their own credentials and independent reporting standards, creating significant inconsistencies in data definitions and visualisation across the organisation.
Connecting with a government portal and ensuring no interference with current business processes already in place across the hospital, clinic, and pharmacy added significant complexity.
Manual data collection from multiple source systems including Excel files and legacy clinical systems led to delays, errors, and limited visibility into patient visits, revenue, and insurance rejection data.
Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.
Set up a complete data ecosystem on Azure, ingesting data from on-premises clinical, ERP, and manual Excel files into a centralised cloud platform.
Configured pipelines for historical and weekly incremental data loads along with appropriate storage resources to ensure consistent and reliable data availability.
Created a Patient Visits dashboard to provide insights on patient traffic, visit patterns, and operational throughput across the hospital, clinic, and pharmacy.
Developed a Revenue dashboard to provide visibility into department-level revenue earned and total monthly revenue, segmented into distinct categories for management reporting.
Built a Rejection dashboard to track insurance claims that were rejected and accepted, enabling RCM teams to monitor and act on claims data efficiently.
Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.
Power BI dashboards delivered required insights across three major sections — revenue generated, insurance claims, and patient traffic — from a single unified source.
Role-based distribution of user access ensured appropriate data visibility for different stakeholder groups across clinical and administrative functions.
Master Data Management concepts reduced confusion around projects and customers, enabling consistent interpretation of data across business units.
Cost visibility and data landscape usage by business units became clearly trackable, supporting better resource allocation and financial oversight.
The cloud-based data platform established a scalable and governed foundation, enabling the organisation to onboard additional data sources and expand analytics capabilities as business needs evolve.