The life sciences industry is rapidly evolving due to macroeconomic shifts, regulatory changes, and increasing competition. These changes have also presented multiple challenges with regard to raw material management, drug efficacy, adherence to safety norms, and patient experience.
To overcome these obstacles and seize opportunities, life sciences enterprises need to invest in digital transformation initiatives and scale them to achieve the desired business objectives. However, enterprises often fail to achieve their digital transformation goals and RoI due to inadequate process understanding, resulting in inefficiencies across the life sciences value chain. Therefore, it is important for life science enterprises to understand and optimize their business processes before they implement a new technology solution and scale their digital transformation programs.
This report will help life sciences enterprises understand how process mining solutions can help them discover, monitor, and improve their processes to successfully implement transformation initiatives across different stages of the life sciences value chain, such as clinical trials, drug manufacturing, pharmacovigilance, inventory management, and quality control. It also looks at adoption challenges and recommends best practices to drive superior outcomes and position life sciences organizations for long-term success in an ever-evolving industry.
Scope
All industries and geographies
Contents
In this viewpoint, we:
- Examine the life sciences industry’s current state, including key trends and challenges
- Introduce process mining
- Discuss process mining adoption in the life sciences industry
- Understand key barriers and recommend best practices to accelerating process mining adoption
Membership(s)
Service Optimization Technologies (SOT)
Sourcing and Vendor Management
