Accelerating decision making in R&D portfolio management
Situation
The client is a significant entity in the worldwide healthcare industry, with a focus on biopharmaceuticals, actively engaging in the full lifecycle of health product development, from research and creation to manufacturing, marketing, distribution, and sales. They offer a range of products, including vaccines and other innovative therapeutic solutions, and maintain a substantial international presence, conducting business in 100 countries.
Challenges
The project faced several key challenges:
- Complex research data from multiple (11+) discrete systems with errors delaying downstream analytics.
- Disparate non-standardized research data leading to bottle necks in reporting.
- Delays in distribution of reports and metrics to decision-makers.
- Ineffective decision making leading to delay in speed to market.
Solution
Our team delivered a rapid and effective solution:
- Robust cross-functional data governance, master/reference data management, and data quality automation.
- Data flow automation between in-scope systems.
- Future-fit data foundation, solution simplification and technical debt reduction.
- Ready for systematic use of predictivity analytics and AI capabilities.
- Process and governance optimization.
Impact
The successful clone of the system and the rapid reconnection of partner applications delivered a profound impact:
- Significantly improving the client’s R&D portfolio decision-making capabilities to enable accurate and timely decisions as well as providing agility to dynamically respond to changes in market conditions.
- Enhancing capabilities of R&D portfolio team through greater automation, scenario planning better allocation of resources towards insights generation, risk assessment and decision-making activities using timely, accurate data.
- Driving a cohesive business process and integrated digital platforms approach supported by appropriate data interoperability to drive greater efficiency.