The supply chain is a critical component of the healthcare and life sciences industry, connecting life-saving medicines, medical devices, and products to hospitals, pharmacies, and patients across the globe.
However, the inability to see the entire supply chain holistically, and match supply with variable demand, is expensive and disruptive. Today, over 100 drugs face a shortage, impacting public health and costing hospitals hundreds of millions of dollars to find alternative treatments. Furthermore, orders have gone unfulfilled, financial penalties continue to rise, and organizations face lost revenue opportunities.
With a modern data intelligence platform, healthcare and life sciences organizations are building more resilient supply chains. Data and AI is helping integrate diverse suppliers, identifying and addressing disruptions before they happen, and optimizing distribution with demand forecasting.
Join Databricks for this workshop, where we’ll explore:
- The current challenges surrounding supply chains across the healthcare industry
- How to unify your data with supply chain ecosystem data including SAP
- Where predictive analytics can drive use cases like inventory management, demand forecasting and distribution optimization
- The role of democratizing data intelligence to everyone in your organization using Databricks AI/BI