Considerations for Big Data management in pharmaceutical manufacturing

Abstract

Big Data technologies are advancing the manufacturing of drug and biological products. Such technologies include innovative software and computational methods for data storage, mining, and analytics. Increasingly vast, complex data sets are being produced by advanced manufacturing processes and sensors for statistical analysis and decision-making. Implementing Big Data technologies, however, can introduce new challenges for organizations in areas of data generation, architecture, and security. Big Data management includes implementing robust storage, complex data integration, and state-of-the-art analysis software. Upholding data integrity and security might require designing a modernized risk-based framework plan for the organization. Once these challenges are successfully addressed, the incorporation of Big Data technologies into pharmaceutical manufacturing is expected to enable more efficient production, lower costs, and greater quality control, resulting in a stronger global pharmaceutical supply chain.