Find the common ground in 10 steps
Operationalizing data science projects is not an easy task — it becomes twice as hard when teams are isolated and playing by their own rules.
In this guidebook, you'll find:
- A brief overview of ways in which operationalization can be promoted (and used) within your company.
- Discussion on topics ranging from Best Operating Procedures to Risk Management for unforeseen situations.
- A deep look into modeling strategies and the implementation of communication strategies.