Why do so many data science projects fail to deliver value?
Data scientists are struggling to deploy their models into business processes. Evidence suggests that the gap is widening between organizations successfully gaining value from data science and those struggling to do so.
As part of my PhD thesis research, I would like to learn from data science professionals and understand the mistakes that companies make when implementing profitable data science projects, and discover how to avoid them.
Based on your experience, what are the most important aspects to successfully complete a data science project? Do you follow any methodology to organise the project? How well-coordinated is your data science team?
Use the brief survey below to share your insights for the upcoming study on rethinking data science project methodologies, by Vicomtech, Tecnun, and the Institute of Data Science and Artificial Intelligence at University of Navarra.
It will take you just 3 minutes. Thank you!
Posted Jul 12, 2021, 6:25 AM UTC