Managing data volume velocity, and variety
The scope of a clinical trial is massive, often involving multiple countries, sites, and patients. With potentially thousands of subjects, the logistics required to ensure patient safety and the amount of data that is captured to assess efficacy is staggering. The time to acquire, process, and analyze these large data sets had to be minimized to allow for continuous observation and decision-making by medical professionals and project staff.
Without accurate, clean, and consistent data, MSRcosmos understood that the ability to perform analytics – dashboards, predictive, prescriptive – was in question and was a hurdle they had to overcome to ensure the timely outcome of the clinical trial and be able to deliver life-altering medicine to those who need it.
MSRcosmos solicited input from various stakeholders and partnered them with our solution architects, data scientists, and analytics experts to design a solution that optimized business outcomes. The new platform – built upon leading big data constructs such as Hadoop, Apache NiFi, and Apache Spark – allows unprecedented scale and performance as the client’s needs grow. The open-source model allows the client to avoid costly proprietary approaches and gain access to the large pool of developer talent in the marketplace for such tools.
The new platform – built upon leading big data constructs such as Hadoop, Apache NiFi, and Apache Spark – allows for unprecedented scale and performance as the client’s needs grow.