2021 House Bill 1804, among other new state and federal legislation, creates more focus on disclosure and transparency of customer marketing and doctor contacts for pharmaceutical reps, Healthcare Professionals (HCPs), and Health Care Organizations (HCOs). The increased scrutiny is focused on how sales representatives can interact with doctors, clinics and their patients. Because direct access to physicians continues to shrink, investments in digital marketing have been on the rise and demands for higher productivity are now expected.
There have also been key changes in regulatory compliance — such as the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and others — which call for increased oversight and transparency. Patient engagement patterns have become more direct-to-consumer with digital enablers like telemedicine and social media. The fight for buyers and market share has elevated the need for real-time ML based analytics, and deep link customer journey analytics. The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Customer 360 based recommendations, reduce and avoid churn, and devise 'what if' recommendations.
This event is designed in a speed dating format, with a focus on key topics for under 15 minutes in order to maximize the insights. During this online meetup, you'll learn from our experts how Expero and TigerGraph technology can unlock the potential in your organization. We will feature unique TigerGraph and Expero technology lightning talks, followed by a short Q&A session.
What You'll Learn:
Session 1 (12 min): Complexity of KYC - C and C360 In Life Sciences Why & How Graph, ML, and Visualizations are game changers for ER, Customer Journey, & driving revenue with recommendations
Session 2 (12 min): Art of the Possible 'The Art of the Possible' Demonstrations - ER, Customer Journey, upsell, cross-sell, targeting similar prospects, and more
Session 3 (12 min): ML & Graph Capabilities Details on How Graph & ML improve predictive analytics and active scenario analysis
Session 4 (12 min): Bringing the Concept Together Using TigerGraph with ML - approaches to ER, Customer Journey and staying connected with data in real-time
Session 5 (5 min): Open Q&A