In the dynamic environment of biotechnology trials, the significance of Clinical Data Management systems (CDMs) cannot be overstated. As we navigate the complexities of these trials and the pivotal ...

The substantial volume of data collected and analyzed by modern laboratories - irrespective of their sector - means that effective lab data management has never been so important. In this context, ...

Clinical data management (CDM) plays a crucial role in the Clinical trials industry, ensuring the accuracy, completeness, and security of patient data. However, Clinical data management systems face ...

The modern clinical trial design requires real-time data modelling and simulation to provide reliable information that supports faster decision-making and reduces development time, costs, and ...

An MDM program offers a competitive advantage by creating a two-way data clearinghouse with automation and tools to manage data that all your systems can access Until now, as a developer, you’ve been ...

Data management systems tend to grow organically over time, which can result in fragmented silos that are difficult, if not impossible, to scale and secure. These challenges have become more acute as ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

This article was written by Keith Bunnell, Global Head of Data Management Services at Bloomberg and is reproduced from A-Team Insight. Information has always been the lifeblood of the financial ...

Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...