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