Day One: Driving a Smarter, Agile and Data Driven Supply Chain
Monday, September 16th, 2019
Businesses are becoming increasingly digital, from the proliferation of new sets of data, to an increased demand for analytics to new patient focused technologies, including wearables, yet many pharma supply chains are lagging in digital. How are data driven technologies coming together to make things easier for the supply chain? How can you convey this value to justify ROI? What digital approaches are most effective in creating end to end visibility? What should be at the foundation of your integrated supply chain to support a self driving supply chain of the future?
•How to work on the supply chain from a process and technology standpoint to keep in step with what’s happening with the business
•How to conduct a capability assessment to understand where to best leverage technology
•Key components for the foundational layer of the integrated supply chain to support the predictive and prescriptive layers that drive business value
•What digital means for a more patient centric supply chain
•Leveraging digital to improve end-to-end visibility
Data is the underpinning of all supply chain systems, and data is growing rapidly with new types of data sets offering opportunities to drive business value. Yet most manufacturers are faced with data integration challenges, especially gathering data from across all corners of the enterprise. How can you avoid becoming crippled by data? Bharath Sundararaman, GMS Digital Technology Partner & Program Leader, Self-driving Operations for Merck KGaA, Darmstadt, Germany has been leading digital supply chain transformation and is now working on defining a data strategy to enable the business to be successful in digital ambition.
Hear lessons learned, including:
•Understanding the data sets you should focus on to deliver business value
•Leverage the right tools and technologies to get the most out of your data assets
•Outlining an enterprise wide strategy to support the global business, treating data as an asset