In the era of digital transformation, the pharmaceutical industry faces the challenge of efficiently extracting valuable insights from various systems. This presentation will showcase a case study on how Genentech has been attempting to create value from countless data sets, including a brief recap of their failed attempts and the lessons learned. Attendees will explore how to streamline data extraction and create value simultaneously, ultimately enabling streamlined operations and enhanced decision-making. In this session, you will learn more about how to:

• Efficiently extract and integrate data from MES, data historians, LIMS, and Process Knowledge Management Systems.
• Overcome challenges and learn from failed attempts in data integration.
• Utilize combined data to drive operational efficiency and informed decision-making.
• Create a unified digital environment for seamless data extraction and value creation.

• What overarching strategies can be employed to integrate data from multiple systems (e.g., MES, LIMS, data historians) effectively, and how have these strategies facilitated value creation through MES-driven data extraction and analysis?
• What were the primary obstacles you encountered during your data integration efforts, and what strategies did you use to address them?
• How do you maintain data quality and integrity across different systems to ensure reliable and actionable insights?
• Can you provide examples of how integrating diverse data sources has led to tangible improvements in your operations or decision-making processes?
• What critical lessons have you learned from both successful and unsuccessful attempts at data integration?
• What emerging trends or technologies do you believe will be pivotal in advancing data integration and utilization in the near future?