Abstract
There is an increasing demand from the life sciences industry in having social media analytics in supporting strategic medical and commercial activities like Key Opinion Leader (KOL) profiling, brand planning, and commercial-related activities. Social media analytics in the Life Sciences industry can assume many different forms and shapes, where the process of analyzing, interpreting, and decision making from social media data supports different challenges and business needs. This paper explains the different social media analytics methods applied during the last years through a focus group and literature review methodology. The main objective of this research paper is to better understand the interconnection between social media analytics and decision support processes and how those insights are being generated to support scientific knowledge and disseminate innovation across different strategic processes to Life Sciences like Key Opinion leader’s identification, profiling, and tiering.
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