SVMPharma Ltd, Landmark House Station Road, Hook, Hampshire, UK, RG27 9HA CONTACT US [email protected]+44(0) 1256 962 220 www.svmpharma.com THE RWE SERIES Providing the background, the research and the insights. PART III: BIG DATA ANALYTICS & VISUALISATION
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SVMPharma Real World Evidence – The RWE Series – Part III: Big Data Analytics and Visualisation
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To cope with Big Data, a number of hardware and software solutions are used and these have replaced the
traditional Business Intelligence (BI) tools. The first step involves massively parallel computing and the
processing of large datasets across clusters using a Hadoop based program. Specialist tools are available for
rapid processing and querying including Spark for structured and semi-structured data, whilst unstructured
data can be stored in the document database software MongoDB. Saiku allows users to create, visualize and
analyse information in graphical & pivot table formats. These wholesale changes in data storage and processing
architecture has been crucial and sets the platform for future innovation and expansion.
Big Data analytics in healthcare is almost ready to fulfil its potential: this is due
to the rapid digitisation of information, the adaptations in technological
architecture and the increasing capabilities for real-time analysis. However, to
maximise its potential we need to fully understand the key characteristics of
Big Data: volume, variety and velocity. A consideration of the veracity of the
data and visualisation techniques make up our ‘5Vs’ of Big Data in healthcare
and provide a useful framework to explore the key issues.
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Front Cover Image by Calvinius [CC BY-SA 3.0 (http://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons