The life sciences industry has witnessed a surge in Data Management solution investments over the past few years. Despite these expenditures, however, these solutions all too often fail to keep pace with the latest technological advancements, leaving organizations struggling to address evolving pain points and integrate them with existing investments. Past Data Management systems, often lacking the adaptability necessary to continue to meet growing requirements or enterprise needs, quickly become outdated and therefore hinder innovation.
Unfortunately, due to the high cost of investment, many organizations feel compelled to continue using aging systems, negatively impacting the direction of future IT investments.
