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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.

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