Abstract
This paper presents the results of an ethnographic study focused on how data science projects were conducted within a global media advertising company. Observations, via embedding a researcher within the team, as well as more structured interviews and surveys, are documented. Recommendations to improve the current data science methodology within the company are also discussed. Overall, there had been little focus on the team's process methodology and the suggested process improvements would result in the company's data science projects having less risk and shorter timelines. Other big data teams might also benefit from reviewing and refining their work processes, but more work needs to be done to validate this assumption.
Original language | English (US) |
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Title of host publication | Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2098-2105 |
Number of pages | 8 |
ISBN (Electronic) | 9781479999255 |
DOIs | |
State | Published - Dec 22 2015 |
Event | 3rd IEEE International Conference on Big Data, IEEE Big Data 2015 - Santa Clara, United States Duration: Oct 29 2015 → Nov 1 2015 |
Other
Other | 3rd IEEE International Conference on Big Data, IEEE Big Data 2015 |
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Country/Territory | United States |
City | Santa Clara |
Period | 10/29/15 → 11/1/15 |
Keywords
- Big Data
- Data Science
- Process Methodology
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Software