TY - CHAP

T1 - On the Appropriate Methodologies for Data Science Projects

AU - Dastgerdi, Amin Karimi

AU - Gandomani, Taghi Javdani

N1 - Conference code: 10

PY - 2021/7/14

Y1 - 2021/7/14

N2 - Data science is an emerging discipline with a particular research focus on improving the available techniques for data analysis. While the number of data science projects is growing, unfortunately, there is a slight consideration of how a team performs a data science project. Although the existence of a repeatable well-defined process could deal with many challenges of data science projects, researches conducted in recent years indicate a convergence of the results to agile methodologies as the appropriate ones for the projects. In this paper, first, the tasks and roles of individuals in data science projects are addressed; then, some research conducted for the methodologies used in the projects are studied. The study shows that agile methodologies could resolve many issues of data science projects by increasing the communications and cooperation of the team members and investors.

AB - Data science is an emerging discipline with a particular research focus on improving the available techniques for data analysis. While the number of data science projects is growing, unfortunately, there is a slight consideration of how a team performs a data science project. Although the existence of a repeatable well-defined process could deal with many challenges of data science projects, researches conducted in recent years indicate a convergence of the results to agile methodologies as the appropriate ones for the projects. In this paper, first, the tasks and roles of individuals in data science projects are addressed; then, some research conducted for the methodologies used in the projects are studied. The study shows that agile methodologies could resolve many issues of data science projects by increasing the communications and cooperation of the team members and investors.

KW - agile software methodologies

KW - big data

KW - business intelligence

KW - data science

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85112190039&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/624bd0cd-785a-31fd-9550-d417796b035b/

U2 - 10.1109/ICIT52682.2021.9491712

DO - 10.1109/ICIT52682.2021.9491712

M3 - Article in conference proceedings

AN - SCOPUS:85112190039

SN - 978-1-6654-2871-2

T3 - 2021 International Conference on Information Technology (ICIT)

SP - 667

EP - 673

BT - 2021 International Conference on Information Technology, ICIT 2021 - Proceedings

A2 - Jaber, Khalid Mohammad

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference on Information Technology - ICIT 2021

Y2 - 14 July 2021 through 15 July 2021

ER -