White Paper: Data Science Operationalization

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. Overcome the challenges with this 10-step white paper.

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Operationalize with Ease

 

Data science projects can be intimidating; after all, there are a lot of factors to consider. In today’s competitive environment, individual silos of knowledge will hinder your team’s effectiveness. Best practices, model management, communications, and risk management are all areas that need to be mastered when bringing a project to life.

 

 

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.