Pharmaceutical and biotech firms invest heavily in data collection, but when it comes to making critical business decisions, data flow often becomes data drip. It’s much like household plumbing; a fancy faucet doesn’t make the water flow any faster if the pipes are rusty or not connected properly. Data “clogs” are inevitable when you consider the huge volume of information that is a hallmark of today’s drug research clinical trials, and the complexity of integrating data flows from different legacy, proprietary and homegrown systems.
Simply building a network of application protocol interfaces (APIs) to connect the “pipes” might not solve the problem, and building (or rebuilding) a data management infrastructure can be costly and time-consuming. Cloud-based technology could open the spigot and end the data drip. To learn more about solving the data drip in your organization, read our latest white paper: “Avoiding the “Data Drip” within Life Sciences Using Cloud-Based Technology.”