BusinessPharmaceutical IndustryRegulatory
November 5, 2024

Outsourcing Trends in 2024

Outsourcing Trends & Strategies in the Pharmaceutical Industry Outsourcing is essential in the pharmaceutical industry, driven by the needs for cost reduction, operational efficiency, and access to specialized expertise. Understanding the latest trends and implementing effective outsourcing strategies is crucial for maintaining competitive advantage and ensuring sustainable growth. Current Trends in Pharmaceutical Outsourcing Focus on Quality and Compliance Maintaining high standards of quality and regulatory compliance is a top priority for pharmaceutical companies. Outsourcing partners must adhere to stringent regulatory requirements to ensure product safety and efficacy. This has led to increased scrutiny and more rigorous selection processes for choosing outsourcing partners, particularly regarding their regulatory experience, inspection histories, and perceived ability to handle the complexities of the approval process. This latter point is amplified by regulatory differences among nations, given the necessity of global clinical trials. Increased Reliance on Contract Development and Manufacturing Organizations Pharmaceutical companies are increasingly partnering with CDMOs to handle various aspects of drug development and…
Read More
BusinessData ManagementPharmaceutical Development
June 7, 2024

Big Data Meets Big Pharma

Burgeoning Data The amount of data generated daily has grown exponentially in recent history. According to an article by Fabio Duarte, almost 329 million terabytes of data are generated each day, totaling 120 zettabytes annually (1 zettabyte = 1,000,000,000,000,000,000,000 bytes). Sensors on manufacturing equipment generate data based on current conditions and equipment performance. IoT devices can process this data to make immediate adjustments for optimal performance, quality, and regulatory compliance. Processing this “big data” efficiently can be a major source of competitive advantage for pharma companies. Big Data Analytics Aggregated data generated by equipment-bound sensors can differ from the data found in traditional datasets and processed by analytical methods. Traditional analysis focuses on static data and historical trends but is less effective with high-volume, real-time data. Data veracity is vital to transforming data into usable information; big datasets have a huge pool of data to offset outliers and reduce human error during analysis. Big data frameworks like open-sourced Hadoop and…
Read More