(342e) Integration of the R&D Enterprise

This talk will focus on specific methods and case studies of applying information technology in incremental layers across multiple businesses to improve the value of the organization's investment in experimentation. ? The difference between laboratory data management and laboratory "workflow", and why both are important in developing effective research IT systems. ? How R&D organizations have developed an overall architecture to bring together sample and data management, analytics, and laboratory and document workflow. ? How to balance multi-year grand-vision architecture plans and achieving near-term measurable benefits.