Implementing a data exploitation strategy is an essential step to allowing a group to structure itself and maximise the value created by data science.
This structuring depends on four key success factors:
Once the pillars of the group’s data exploitation strategy have been consolidated, value maximisation comes from identifying the most value-creating use cases.
Finally, these cases must be prioritised in an actionable roadmap in line with the organisation’s overall strategy. It must also take into account the constraints in terms of skills and resource availability of the teams making up the data platform supporting its development.