Abstract

Historically, domains such as business intelligence would require a single analyst to engage with data, develop a model, answer operational questions, and predict future behaviors. However, as the problems and domains become more complex, organizations are employing teams of analysts to explore and model data to generate knowledge. Furthermore, given the rapid increase in data collection, organizations are struggling to develop practices for intelligence analysis in the era of big data. Currently, a variety of machine learning and data mining techniques are available to model data and to generate insights and predictions, and developments in the field of visual analytics have focused on how to effectively link data mining algorithms with interactive visuals to enable analysts to explore, understand, and interact with data and data models. Although studies have explored the role of single analysts in the visual analytics pipeline, little work has explored the role of teamwork and visual analytics in the analysis of big data. In this article, we present an experiment integrating statistical models, visual analytics techniques, and user experiments to study the role of teamwork in predictive analytics. We frame our experiment around the analysis of social media data for box office prediction problems and compare the prediction performance of teams, groups, and individuals. Our results indicate that a team's performance is mediated by the team's characteristics such as openness of individual members to others' positions and the type of planning that goes into the team's analysis. These findings have important implications for how organizations should create teams in order to make effective use of information from their analytic models.

Original languageEnglish (US)
Pages (from-to)53-66
Number of pages14
JournalBig Data
Volume5
Issue number1
DOIs
StatePublished - Mar 1 2017

Fingerprint

Data mining
Competitive intelligence
Experiments
Data structures
Learning systems
Pipelines
Planning
Big data
Prediction
Team work
Analysts
Experiment
Statistical Models
Predictive analytics
Social media
Team performance
Data collection
Statistical model
Openness
Make-to-order

Keywords

  • box office prediction
  • cognitive analysis
  • teamwork
  • visual analytics

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

Cite this

The role of teamwork in the analysis of big data : A study of visual analytics and box office prediction. / Buchanan, Verica; Lu, Yafeng; McNeese, Nathan; Steptoe, Michael; Maciejewski, Ross; Cooke, Nancy.

In: Big Data, Vol. 5, No. 1, 01.03.2017, p. 53-66.

Research output: Contribution to journalArticle

Buchanan, Verica ; Lu, Yafeng ; McNeese, Nathan ; Steptoe, Michael ; Maciejewski, Ross ; Cooke, Nancy. / The role of teamwork in the analysis of big data : A study of visual analytics and box office prediction. In: Big Data. 2017 ; Vol. 5, No. 1. pp. 53-66.
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