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How to Deliver Successful Data Science Consulting Projects | by Hans Christian Ekne

Retrieved on: 2024-07-13 13:18:37

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Summary

The article discusses the importance of integrating long-term considerations and robust data practices in data science consulting, highlighting parallels with DevOps. This includes implementing strong data pipelines, documenting processes, and ensuring operations align with continuous deployment principles. Tags like management consulting and business process management contextualize the needs addressed, emphasizing sustainability and maturity assessment.

Article found on: towardsdatascience.com

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