Analytic Trails: Supporting Provenance, Collaboration, and Reuse for Visual Data Analysis by Business Users
Analytic Trails: Supporting Provenance, Collaboration, and Reuse for Visual Data Analysis by Business Users
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分析跟踪：支持业务用户可视化数据分析的来源、协作和重用
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
J. Lai
中科院分区：
文献类型：
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作者：
Jie Lu;Zhen Wen;Shimei Pan;J. Lai
在本文中，我们讨论了使用分析跟踪，以支持业务用户的需求时，进行可视化数据分析，特别是分析出处，异步协作和重用的分析方面。我们提出了一个原型实现的分析跟踪技术的一部分，更聪明的决策-一个基于Web的可视化分析工具，帮助业务用户从结构化和非结构化数据中获得见解的目标。为了了解在商业环境中支持视觉分析任务的踪迹的价值和缺点，我们进行了一项有21名参与者的用户研究。虽然大多数参与者发现跟踪对于捕获和理解分析的出处是有用的，但他们认为跟踪对于个人使用更有价值，而不是将分析过程作为协作的一部分传达给其他人。研究结果还表明，丰富的搜索机制，很容易找到相关的线索（或部分线索）是成功的适应和重用现有保存的线索的关键。
In 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.