Operationalize Data Projects with Ease

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.

Get the Guidebook