Transform your data strategy with Productive Edge's Modern Data and Analytics Accelerator

What to Expect

Our modern data and analytics strategy accelerator helps healthcare organizations develop a tailored data-driven strategy and roadmap that considers their objectives, culture, and priorities. This ensures sustainable change management and alignment across the organization.

Part 1: Define Digital Ambitions and Desired Outcomes

• Analyze and document key analytics and AI use cases specific to healthcare.
• Identify master data needs and target maturity for healthcare data.
• Evaluate users, user access needs, roles, and entitlements within the healthcare context.

Part 2: Technology Execution Plan

• Discuss internal data source integration, access, and systems relevant to healthcare.
• Determine target DataOps process, roles, and responsibilities tailored for healthcare data management.
• Define physical data lake components, system and versioning considerations, and the design and architecture required to support the overall approach in healthcare.

Part 3: Formalize Key Findings and Recommendations

• Business goals and representative healthcare use cases.
• Data analytics strategy that aligns key healthcare data sources to priority and provides a sample data pipeline.
• Master data scope definition specific to healthcare.
• Target modern data analytics architecture for ingesting raw healthcare data, rules around data cleansing, data curation, managing gold data, and querying through data virtualization.
• Iterative data governance scope and roadmap tailored to healthcare needs.
• Physical data lake design and architecture to adopt modern data architecture principles for healthcare.
• User access, user access needs, roles, and entitlements within the healthcare sector.
• DataOps process, roles, and responsibilities aligned with healthcare data management.