The Rise of the Augmented Consumer in Life Sciences: Shaping the Analytics and Business Intelligence Strategy
Future analytics and business intelligence (BI) user experience will be consumer-focused and dynamic, augmented and in context. It will also be conversational, open to other tools, including data science and machine learning modeling, natural language processing and deeply embedded in all applications.
Business users will have access to advanced analytical power previously reserved for analysts and citizen data scientists. With this consumer design focus, analytics platforms will make it easier for consumers to find content, get insights and act on them. Join this webinar to learn about:
- The “Augmented Consumer” — what is it and why does it matter in life sciences?
- Shaping an influential tech-forward business strategy by shifting gears from enabling analysts to enhancing business users
- How to become a steward of user experience by introducing customer-centric, domain-specific and design-based, emerging artificial intelligence (AI) platforms
- Reimagining the role of IT and reinventing the analytics strategy to reshape the commercial strategy with an augmented consumer platform
People also viewed
Customer Centricity and Digital Experiences which are Redefining Pharma
It is no secret that the pharmaceutical industry has historically flourished from blockbuster products with substantial brand equity, favorable pricing
Awash in Data, Yet Starving for Insights? Transform Life Sciences Commercial Teams with Augmented Analytics
Personalized communication is something the HCPs have come to expect. To do that, pharma sales reps need to know their customers well. In order to know the customer well, they need data. Enterprise pharma companies, however, have many data resources and lots of data at their disposal. In fact, there is a data explosion. So what do you do?
Readiness of Augmented Analytics for Life Sciences Commercial Teams
Demand for smart, agile and near-instant commercial analytics in Pharma is rising. More contextual, continuous and connected data and analytics are required to respond to more complex and uncertain business decisions.
AI Powered Business Intelligence for Life Science Leaders: Save Time, Drive Adoption and Scale Faster
Today’s commercial teams must pinpoint top opportunities in markets across the country—or across the world—based on regulations, drug trials, market activity, competitors, insurance records, HCP preferences and affiliations, much more data than is humanly possible to manage.