Abstract
Open data are information entities that are of significant importance for many institutions, businesses and even citizens as the part of the digital transformation within many fields in our society. The aim of this paper is to provide a competitive environment analysis method using open source intelligence within the pharmaceutical sector and to design the optimal data structure for this purpose. Firstly, we have described the state-of-the-art of open human medicine data within the European Union with a focus on antidepressants and we have chosen the Czech Republic as the primary research territory for demonstrating competitive intelligence analysis. Secondly, we have identified the competitive intelligence and open source intelligence relationship with a new possible contextual analysis method using open human medicine data and Google Search data. Finally, this paper shows the potential of open deep web data within competitive intelligence activities, together with surface web data entities as a lowcost approach with high intelligence value focused on the pharmaceutical market.
Highlights
Open data plays a significant role in our present society and is one of the most important digital transformation trends
The biggest issues we faced could be identified as the different data structure in each of the countries together with language barriers leading to difficulties as to when data should be used in a whole-region analysis
We faced significant obstacles with data synthesis during our three-month collection period across the EU member states mainly caused by poor information services with significant differences regarding open human medicine data structure and quality
Summary
Open data plays a significant role in our present society and is one of the most important digital transformation trends. It has become a solid part of the activities of business units that are charged with business analyses, insights and strategy plans (Janssen et al 2012). The reason can be found in a very broad spectrum of industries and areas where open data has started to be a rational form of result output. As the number and scope of such open datasets has grown enormously to include in the areas of transportation, public services, natural science, education, demography, and last but not least the health sector, it has become a significant part of many national information policies, shifting from governmental down to local levels. Data is an essential part of the EU’s Digital Single
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