Zobrazeno 1 - 10
of 93
pro vyhledávání: '"S, Saltz"'
Publikováno v:
International Journal of Information Systems and Project Management, Vol 08, Iss 03, Pp 5-22 (2020)
With the increasing ability to generate actionable insight from data, the field of data science has seen significant growth. As more teams develop data science solutions, the analytical code they develop will need to be enhanced in the future, by an
Externí odkaz:
https://doaj.org/article/f93aeb37b18e489e8e0a038af4dbfea2
Autor:
Jeffrey S. Saltz, Iva Krasteva
Publikováno v:
PeerJ Computer Science, Vol 8, p e862 (2022)
There is an increasing number of big data science projects aiming to create value for organizations by improving decision making, streamlining costs or enhancing business processes. However, many of these projects fail to deliver the expected value.
Externí odkaz:
https://doaj.org/article/16742366af8949e59c939ec6f9536c09
Autor:
Ivan Shamshurin, Jeffrey S. Saltz
Publikováno v:
International Journal of Information Systems and Project Management, Vol 7, Iss 2 (2022)
Teams are increasing their use of the Kanban process methodology across a range of information system projects, including software development and data science projects. While the use of Kanban is growing, little has been done to explore how to impro
Externí odkaz:
https://doaj.org/article/f637871c4f0c4197970b4167c347aa37
Publikováno v:
International Journal of Information Systems and Project Management, Vol 8, Iss 3 (2021)
With the increasing ability to generate actionable insight from data, the field of data science has seen significant growth. As more teams develop data science solutions, the analytical code they develop will need to be enhanced in the future, by an
Externí odkaz:
https://doaj.org/article/d8c9f2da83254bd5a58a9fb7be4c4400
Autor:
Ivan Shamshurin, Jeffrey S. Saltz
Publikováno v:
International Journal of Information Systems and Project Management, Vol 07, Iss 02, Pp 61-77 (2019)
Teams are increasing their use of the Kanban process methodology across a range of information system projects, including software development and data science projects. While the use of Kanban is growing, little has been done to explore how to impro
Externí odkaz:
https://doaj.org/article/13bd4f2bbedc4a2e951e7daa9acd6dff
Autor:
Yin Zhang, Dan Wu, Loni Hagen, Il‐Yeol Song, Javed Mostafa, Sam Oh, Theresa Anderson, Chirag Shah, Bradley Wade Bishop, Frank Hopfgartner, Kai Eckert, Lisa Federer, Jeffrey S. Saltz
Publikováno v:
Journal of the Association for Information Science and Technology.
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-24
Data science teams working on a shared analysis face coordination problems such as dividing up the work to be done, monitoring performance and integrating the pieces. Research on distributed software development teams has raised the potential of stig
Autor:
Jeffrey S. Saltz
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Jeffrey S. Saltz, Iva Krasteva
Publikováno v:
PeerJ. Computer science. 8
There is an increasing number of big data science projects aiming to create value for organizations by improving decision making, streamlining costs or enhancing business processes. However, many of these projects fail to deliver the expected value.