Analytic Trails: Supporting Provenance, Collaboration, and Reuse for Visual Data Analysis by Business Users

dc.contributor.authorLu, Jie
dc.contributor.authorWen, Zhen
dc.contributor.authorPan, Shimei
dc.contributor.authorLai, Jennifer
dc.date.accessioned2025-06-05T14:03:31Z
dc.date.available2025-06-05T14:03:31Z
dc.date.issued2011
dc.descriptionIFIP Conference on Human-Computer Interaction
dc.description.abstractIn this paper, we discuss the use of analytic trails to support the needs of business users when conducting visual data analysis, focusing particularly on the aspects of analytic provenance, asynchronous collaboration, and reuse of analyses. We present a prototype implementation of analytic trail technology as part of Smarter Decisions ( a web-based visual analytic tool, with the goal of helping business users derive insights from structured and unstructured data. To understand the value and shortcomings of trails in supporting visual analytic tasks in business environments, we performed a user study with 21 participants. While the majority of participants found trails to be useful for capturing and understanding the provenance of an analysis, they viewed trails as more valuable for personal use rather than for communicating the analytic process to other people as part of a collaboration. Study results also indicate that rich search mechanisms for easily finding relevant trails (or portions of a trail) is critical to the successful adaptation and reuse of existing saved trails.
dc.description.urihttps://link.springer.com/chapter/10.1007/978-3-642-23768-3_22
dc.format.extent18 pages
dc.genreconference papers and proceedings
dc.genrebook chapters
dc.genrepostprints
dc.identifierdoi:10.13016/m29zov-1lqs
dc.identifier.citationLu, Jie, Zhen Wen, Shimei Pan, and Jennifer Lai. “Analytic Trails: Supporting Provenance, Collaboration, and Reuse for Visual Data Analysis by Business Users.” In Human-Computer Interaction – INTERACT 2011, edited by Pedro Campos, Nicholas Graham, Joaquim Jorge, Nuno Nunes, Philippe Palanque, and Marco Winckler, 256–73. Berlin, Heidelberg: Springer, 2011. https://doi.org/10.1007/978-3-642-23768-3_22.
dc.identifier.urihttps://doi.org/10.1007/978-3-642-23768-3_22
dc.identifier.urihttp://hdl.handle.net/11603/38719
dc.language.isoen_US
dc.publisherSpringer Nature
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectAnalytic provenance
dc.subjectVisual data analysis
dc.subjectAsynchronous collaboration
dc.subjectAnalysis reuse
dc.subjectInformation visualization
dc.titleAnalytic Trails: Supporting Provenance, Collaboration, and Reuse for Visual Data Analysis by Business Users
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5989-8543

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