What We Did

Conducted stakeholder workshops to define analytics requirements.
Performed deep dive assessments of legacy systems and data sources.
Developed comprehensive business, process, and information models.
Enabled incremental replacement of legacy applications with modern solutions.

The Challenge

A national nonprofit dedicated to advancing stem cell transplantation sought to transform its technology and data infrastructure in pursuit of becoming a global leader in its field. For years, the organization relied on outdated legacy applications that created inefficiencies, slowed innovation, and hindered cross-system integration. These limitations impacted critical processes such as donor enrollment, cord blood registration, match validation, and transplant facilitation.

To continue advancing life-saving therapies, the organization required a comprehensive modernization effort—replacing legacy systems with modern Commercial Off-the-Shelf (COTS) solutions and custom applications, while defining clear boundaries, interfaces, and integration points.

Lifescale Analytics’ Solution

Lifescale Analytics led a multi-year engagement to design and implement a modern data and technology architecture. We began with extensive stakeholder workshops to identify high-level business intelligence and analytics needs. Our team performed a deep assessment of source systems to evaluate data quality, context, and usage. Using these insights, we developed detailed business, process, and information models that provided a roadmap for prioritizing system replacements, sequencing integrations, and automating manual workflows.

To ensure focus on areas of greatest impact, processes were heat-mapped for criticality and efficiency, allowing leadership to identify high-priority operations for modernization. These models also documented requirements for automation across systems, enabling incremental implementation of best-of-breed solutions.