The Company
Daiichi Sankyo is a global pharmaceutical company headquartered in Japan, known for its innovative contributions to cardiovascular medicine and oncology. With a strong focus on research and development, Daiichi Sankyo aims to deliver effective therapies that improve patient outcomes worldwide.
The need
Daiichi-Sankyo faced a significant challenge in managing their sales data and internal activities efficiently to create user-friendly reports that met the needs of various departments. The diversity of internal requirements and the disjointed acquisition of data added considerable complexity to the task.
The solution
Daiichi Sankyo partnered with Hyntelo to implement a smart data management solution that could streamline their reporting processes. They chose Hyntelo for its expertise in data-driven technologies and its ability to deliver customized solutions that cater to diverse departmental needs.
The solution was implemented in two key steps:
- Assessment and Roadmap Development:
- An in-depth evaluation of existing data structures.
- Establishment of a data governance framework.
- Development of a clear roadmap to enhance data management.
- Centralized Dashboard Implementation:
- Construction of a centralized dashboard that updates data daily.
- Reprocessing of data to meet the specific needs of different departments and management.
The results
The dashboard has become a single source of truth where every team member can access all relevant information. It is currently the second most-used dashboard within Daiichi Sankyo, with an average of 15 views per day per person.
The implementation of Hyntelo’s solution led to:
- Streamlined data management processes.
- Enhanced accessibility and usability of data across departments.
- Significant reduction in time spent on generating and analyzing reports.
- Establishment of a reliable data foundation for informed decision-making.
- Increased efficiency and productivity within the organization.
For Daiichi-Sankyo, partnering with Hyntelo proved to be the right decision for deploying data-driven tools that are not only beneficial for their current business needs but also scalable to other markets in the future.
