Pharmaceutical industry
Implementation of an organizational concept and process model for a Data Science Lab
Starting point
- The organisational structures and project processes of the existing BI Competence Center conflict with the requirements of Data Science projects.
- A coordinated execution of data experiments is not possible within the current structures.
- There are no processes for the structured execution of data experiments and the handover of developed prototypes to IT.
- There is no method for calculating the business case for prototypes.
Procedure
- Design of an organisational model
- Modeling of process models for agile project implementation
- Evaluation and pilot testing of suitable tool landscapes for data experiments
- Modeling of a handover process to the traditional IT unit
- Implementation of a customised calculation method for business cases for Data Science prototypes
- Modeling of a collaboration model for Data Science projects
Features/Project outcome
- Establishment of an organizational structure for the department
- Implementation of an exchange platform for idea generation for data experiments
- Pilot testing and implementation of process models (project workflow, collaboration, handover)
- Support for prototype development, evaluation of results (business case), and handover to IT units
- Evaluation of the subsequent profitability assessment of the overall outcome
Customer benefits
- Execution of data experiments in a tailored, project-oriented environment
- Result monitoring of data experiments and deployed projects
- A homogeneous process landscape for the implementation of an effective agile project environment
- An embedded and functional organisational unit with clear internal and external interfaces
- Hypothesis-free exploration of patterns within the existing data assets

Jens Schnettler | Member of Executive Board