 Pharma Competitive Intelligence using open source data and visualization tool: towards metrics for drug R&D milestonesPost-Print from HAL Abstract: Pharma-biotech industry is facing a changing world with many market challenges. This industry is switching its business model adopting new R&D management strategy based on the open innovation model. In that context, technology scouting is evolving toward pharma competitive intelligence based on scientific and business information to support decision-making process. A new approach could be build at the crossroad of technology forecasting and knowledge management TF would not rely only on patents as a major source of information but would exploit clinical trials and market authorization data transparency, as well further specific sources of information. KM would take advantage of the information flow during the drug R&D cycle times. Open sources databases with structured information were privileged, and we were able to identify specific sources of information for each milestone in drug R&D. The goal of this research was to implement a versatile data visualization tool, and we chose Tableau Desktop to visualize trends across market, bringing real-time clinical data, across geographies and demographics for pipeline decision makers. As an example, we will present a landscape of angiogenesis inhibitor drug and discuss metrics for drug R&D milestones. The analytical process that transforms disaggregated market and competitor data into relevant strategic knowledge that can be readily put to use by using opens source databases and data visualization tool. It could help biotech startups as well academic laboratories to manages flow of competitive intelligence information, learn about new technologies in the market and could benefit , and trends in the industry R&Dby improving discovery platforms or by reducing R&D costs. Date: 2016-09-13 Published in 6th Global tech Mining Conf., Sep 2016, Valencia, Spain There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02195803 Access Statistics for this paper More papers in Post-Print from HAL |
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