Personalized analytics is poised to completely disrupt information consumption for life sciences
Over the past decade, consumer applications have seamlessly embedded themselves into our personal lives, offering us unprompted insights and recommendations with a new kind of relevance and usefulness. We’ve made a shift from adapting to the limitations of technology, to technology listening to us and adapting to our needs. We no longer have to flip through newspapers to find the stories that we’re most interested in. Convenient newsfeeds offer up bite-sized updates that are prioritized and personalized for us based on our search history and personal interests. With continuous usage, these feeds only get better.
While our lives outside of work have evolved into always-connected, experience-driven worlds of personalized content (enabled through the advancement of technology and AI,) the way that we consume information in our work lives hasn’t changed much over the past 10 or even 20 years. Sure, big data, mobility and cloud computing technologies have enabled us to process vast data streams with instant access to information, but we’ve yet to find a way to embed this information into our day-to-day work lives. And most of us in commercial life sciences still find ourselves digging through spreadsheets or PowerPoint documents, or navigating through complicated BI tools that put the burden on end users to uncover meaningful insights that are relevant to our work. Read more.
