Life sciences organizations that incorporate cognitive insights into their commercial teams’ workflows before their competitors will gain a wide range of benefits.
Early technology adoption can be a complex decision for business leaders. Being among the first in your market to use a new solution can seem risky. But, on the other hand, if the solution solves widespread industry problems, being the first to upgrade can give your company a substantial competitive edge. That is the case with using cognitive insights in the life sciences.
An artificial intelligence (AI)-powered cognitive insights platform, specifically developed to address the complexity and massive data volumes of the life sciences space, is something the industry has never seen before, but this technology offers great potential. Companies that take the opportunity to integrate a next-gen platform now into their commercial teams’ workflows will result in a wide range of benefits, including:
**High adoption: **Life sciences teams that use dashboard-based business intelligence (BI) tools spend excessive time training to use these solutions, sorting through multiple screens for the information they need, and waiting on their company’s IT or data teams to help them with analysis or customizations. Because BI dashboards are complicated and time-consuming to use, companies generally experience low user adoption among field teams. Our research shows rates of only 10% to 40%.
Natural language processing (NLP) and AI-powered analytics solutions are so easy to use that 100% adoption is common. Users forgo dashboards for natural interaction with their data that allows them to ask or type questions to get the answers they need in an instant. When deeper analysis is required, even at the physician level for complicated queries, all it takes is asking another question. Sales reps, including those on market access and patient services teams, have the insights they need to perform their jobs most competitively.
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