Operationalize Data Projects with Ease

Find the common ground in 10 steps

Operationalizing data science projects it is not an easy task — it becomes twice as hard when teams are isolated and playing by their own rules.

In this white paper, 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.
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Get the Guidebook

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