Learn how R&D and Competitor Intelligence teams at a multinational pharmaceutical company use Infodesk to stay ahead of their competition.
Learn how this multinational pharmaceutical company use Infodesk to achieved significantly improved efficiency across their R&D and competitor intelligence teams’ workflows.
“We’re now confident that we can use your unified platform without the risk of missing data – or missing deadlines for posting updated reports. The automated notifications also help up easily identify new drugs detected in query results week-to-week. With Infodesk’s hierarchical taxonomies, we can now use broad terms in our queries to retrieve drugs associated with any of the diseases classified under that category – without having to enter each name. Since we’re organized by Therapeutic Groups, this has proved to be a real time-saver. Your Integrated Records reduce the risk of missing relevant drugs by bringing together all the separate entries provided in each database for the same product. As a result, output from many of our queries has now increased by as much as 25-45%, compared to when we were searching the same databases individually. Yes, that means more data needs to be analyzed, but the extra effort has ensured better quality in our landscape reports” R&D Lead, Global Pharmaceutical Business
“We’re now confident that we can use your unified platform without the risk of missing data – or missing deadlines for posting updated reports. The automated notifications also help up easily identify new drugs detected in query results week-to-week. With Infodesk’s hierarchical taxonomies, we can now use broad terms in our queries to retrieve drugs associated with any of the diseases classified under that category – without having to enter each name. Since we’re organized by Therapeutic Groups, this has proved to be a real time-saver. Your Integrated Records reduce the risk of missing relevant drugs by bringing together all the separate entries provided in each database for the same product. As a result, output from many of our queries has now increased by as much as 25-45%, compared to when we were searching the same databases individually. Yes, that means more data needs to be analyzed, but the extra effort has ensured better quality in our landscape reports”