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Manufacturing industry

Help in choosing a data science solution

OUR CUSTOMER​

Our client is a major player in high-end vacuum technology.

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CONTEXT & ISSUES

The company has initiated an Industry 4.0 approach and built an organisation along these lines by setting up a data centre.

An initial ‘lab’ type experiment validated the relevance of the approach and the need to industrialise pipelining, model management, predictions, the provision of results and collaboration.

The need for a powerful DATA SCIENCE platform was obvious.

TEAMWORK'S RESPONSE

4 key steps to help you make the right choice:

  • Definition of evaluation criteria and classification
  • Identification of the use case
  • Implementation of the use case on the platforms
  • Feedback of selection grids

Key success factors:

  • Dual approach (data scientist + IS expert)
  • Knowledge of data science solutions
  • Experience of selection aids and important criteria for a platform

Solutions :Dataiku, KNIME, Azure ML

THE BENEFITS

  • A clear, pragmatic vision of the platform’s capabilities
  • Discovery of additional functionalities not imagined at the outset
  • Projection of additional use cases
  • Capitalising on and industrialising what already exists

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