Global life science organizations have faced significant economic challenges in 2023, including labor shortages, inflation, and competition from emerging biopharma companies. To overcome these challenges and optimize for future growth, business units within these organizations are increasingly investing in technologies aimed at automating and accelerating arduous and costly workflows.

However, to truly accelerate drug discovery amidst the hundreds of terabytes of data generated each year, life science organizations must leverage collective knowledge at every step of the therapeutic journey. Despite ongoing investments in digital technologies to progress this effort, the biggest barrier to success has been data management and governance , including an inability to get the right data to the right users at the right time.

But there are also cultural, technical and operational challenges that can make it difficult to get the most out of your data. We outline why below.

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