This global, nonprofit healthcare organization provides public healthcare programs to underserved and vulnerable populations, including Medicaid, Medicare, and Marketplace. Due to the nature of their business, they have a unique and significant demand for information. Their information management group recently began a vital initiative to implement a data supply chain strategy to develop more mature business practices that leverage their data and insights.
They implemented a strategy that gathers data from hundreds of source systems and builds a Hadoop data lake to serve their data warehouse and analytical requirements. However, the current execution was not achieving their goals — both the strategy and delivery of data to the organization were falling short of timeliness and quality expectations.
Recognizing the need to change their strategy and implementation, they reached out to Fusion to partner with them in creating a data solution that would ensure the quality and timeliness of their data and subsequent analytics.
Their goal was to implement a data supply chain delivery model that would accelerate the availability of high-quality data for their business users. Based on business needs and regulatory requirements in the healthcare space, they needed to ensure good data quality throughout the entire data flow and create a data governance model for alignment with the different departments and federal and state compliance.
Our first step was to complete a current state assessment that collectively addressed all aspects of their data supply chain strategy. We identified opportunities to address each challenge and provided prioritized recommendations for execution through this assessment.
These recommendations included:
- Establishing a scaled agile program management office
- Optimizing the delivery, data quality, and metadata processes under an Agile framework
- Leveraging data integration technologies to maximize delivery
- Realigning the data architecture
We outlined these recommendations in a roadmap that established the program operating model and realigned their architecture to create the foundation for confirmed delivery.
After developing a data lake in Hadoop that collects all data from a source to support diverse use cases, we developed an enterprise metadata strategy. In this strategy, all the data is accompanied by the many forms of metadata that better serve business stakeholders and technical users. And looking beyond their initial needs for BI and analytics, the solution also supports more diverse use cases, including PHI, security, and compliance, with proper data quality throughout the data flow.