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Data Scientists Aren't Domain Experts
3 references·13 citing·50 second hop
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this work references cited by second hop

References

  • 1998Toyota production system: beyond large-scale production4,524 cited
  • 2012Motivating salespeople: what really works.547 cited
  • 2011The secrets to managing business analytics projects66 cited

Cited by

  • 2017Big data in the Danish industry: application and value creation47 cited
  • 2019Exploring the Relationship Between Data Science and Circular Economy: An Enhanced CRISP-DM Process Model43 cited
  • 2021Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development40 cited
  • 2020How Big Data Analytics Boosts Organizational Performance: The Mediating Role of the Sustainable Product Development37 cited
  • 2018Mind the gap – Assessing maturity of demand planning, a cornerstone of S&OP32 cited
  • 2014Data scientists as game changers in big data environments27 cited
  • 2022Operationalizing Artificial Intelligence-Enabled Customer Analytics Capability in Retailing27 cited
  • 2023Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations25 cited
  • 2016Data Scientist Skills16 cited
  • 2021Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development12 cited
  • 2018Big Data: A Global Overview11 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2020A Graph-based Approach to Manage CAE Data in a Data Lake9 cited
  • 2023The Evolution of Corporate Innovation in the O2O Model—Case Studies in the Chinese Jewelry Retail Sector6 cited