Accelerated digital transformation is driving up data volumes exponentially for every industry, and life sciences is no exception. In fact, the pandemic has demonstrated that data is a vital asset for the industry to respond to market changes. Data-led initiatives helped reduce COVID-19 vaccine trial timelines and scale up manufacturing. As life sciences organizations come to terms with this new reality, it is important for them to think about the value that can be unlocked from data.
This study discusses the current state of data and analytics in life sciences and how it has shaped during the pandemic. We explain how life sciences firms can get started and build momentum to maximize the outcomes from their data and analytics initiatives. The life sciences industry has been committed to making a difference in the lives of patients and communities globally. Data and analytics can prove to be an ally that can help accelerate efforts to stay committed to the goal and make a difference.
Scope
Industry: life sciences
Geography: global
Contents
In this viewpoint, we:
Focus on challenges related to data and analytics in life sciences
Identify data and analytics use cases across the life sciences value chain
Guide enterprises on getting started on their data and analytics initiatives and building momentum to maximize the outcomes
Help enterprises build a vision and strategy for long-term success
A regulatory overhaul is forcing MedTech enterprises to change their operating models to remain relevant in a fast-evolving business landscape. Additionally, they need to build supply chain resiliency to battle supply shortages in the industry and…
