This session discusses the strategic framework for the development, implementation, and operation of global analytical data products within Roche’s Pharma Commercial. It emphasizes the importance of standardizing and harmonizing data collected from various business processes to enhance decision-making and customer-centricity. By leveraging shared systems, technologies, and centralized platforms, the strategy aims to bridge the gap between customer needs and business solutions. The approach fosters co-creation through partnerships and underscores the significance of improving data quality at the source. Key components include the iterative and adaptive nature of the data strategy, the role of integrated and self-managed teams, and the drive for scalability and connectivity across the ecosystem. Ultimately, success is gauged by the tangible outcomes achieved for the entire ecosystem.

In this session, you will learn more about:

• Adaptive data strategy – How Global Data Products evolved their data strategy based on the maturity of the delivery framework
• Be Agile & Focus on Business Needs – What happens when the analytical outcomes challenge the business needs
• Leverage Analytics to improve Operational Processes – How the analytics feedback loop helped in adoption and evolution of global business