TY - GEN
T1 - Exploring project management methodologies used within data science teams
AU - Saltz, Jeffrey
AU - Hotz, Nicholas
AU - Wild, David
AU - Stirling, Kyle
N1 - Publisher Copyright:
© 2018 Association for Information Systems. All rights reserved.
PY - 2018
Y1 - 2018
N2 - There are many reasons data science teams should use a well-defined process to manage and coordinate their efforts, such as improved collaboration, efficiency and stakeholder communication. This paper explores the current methodology data science teams use to manage and coordinate their efforts. Unfortunately, based on our survey results, most data science teams currently use an ad hoc project management approach. In fact, 82% of the data scientists surveyed did not follow an explicit process. However, it is encouraging to note that 85% of the respondents thought that adopting an improved process methodology would improve the teams' outcomes. Based on these results, we described six possible process methodologies teams could use. To conclude, we outlined plans to describe best practices for data science team processes and to develop a process evaluation framework.
AB - There are many reasons data science teams should use a well-defined process to manage and coordinate their efforts, such as improved collaboration, efficiency and stakeholder communication. This paper explores the current methodology data science teams use to manage and coordinate their efforts. Unfortunately, based on our survey results, most data science teams currently use an ad hoc project management approach. In fact, 82% of the data scientists surveyed did not follow an explicit process. However, it is encouraging to note that 85% of the respondents thought that adopting an improved process methodology would improve the teams' outcomes. Based on these results, we described six possible process methodologies teams could use. To conclude, we outlined plans to describe best practices for data science team processes and to develop a process evaluation framework.
KW - Big data
KW - Data science
KW - Process methodology
KW - Project management
UR - http://www.scopus.com/inward/record.url?scp=85054242714&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054242714&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85054242714
SN - 9780996683166
T3 - Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
BT - Americas Conference on Information Systems 2018
PB - Association for Information Systems
T2 - 24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
Y2 - 16 August 2018 through 18 August 2018
ER -