The Future of Customer Engagement: Optimizing the Omnichannel Experience
In the first three chapters of this multi-part series, we delve into a crucial aspect for Life Science entities: grasping the fundamental tenets of omnichannel engagement. From grappling with internal processes and existing engagement endeavors to deciphering ROI amidst fragmented data and elusive channel attribution, we illuminate the day-to-day challenges confronted by organizations akin to yours. We also discuss the potential challenges in managing KPIs for companies in the life sciences industry and how data and analytics play a crucial role in identifying new opportunities and driving continuous improvement.
Meet the Subject Matter Experts
Sandrina Clemente, PharmD MSc
Global Director of Operations AlphanumericWith 17 years of immersion in the Life Sciences sector and credentials including a PharmD and MSc in Clinical Analysis, Sandrina Clemente operates from Portugal, dedicated to enhancing global well-being through streamlined processes and top-notch customer service. Her passion lies in pioneering innovative solutions and tackling challenges with creativity. Sandrina's expertise spans leveraging cutting-edge technologies and artificial intelligence to ensure secure and efficient service delivery. Continuously forward-thinking, she delves into the evolving interplay between processes, human resources, and technology, anticipating future synergies.
Mahsa Kiazadeh, MSc
Global Manager, Workforce Optimization & Data Analytics AlphanumericIn her academic journey, Mahsa Kiazadeh has paired a Bachelor’s in Computer Engineering with a Master’s in Computer Science, specializing in Machine Learning with a special concentration in Medical Image Processing. She has carried the wealth of knowledge gained, along with her continuous learning in this rapidly evolving field of technology, into fruitful years of a career in data analytics. Today, Mahsa is particularly passionate about applying science to real-life situations and finding simple solutions to complex problems.