InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics

TY - GEN

T1 - InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics

AU - Mathisen, Andreas

AU - Horak, Tom

AU - Klokmose, Clemens Nylandsted

AU - Grønbæk, Kaj

AU - Elmqvist, Niklas

N1 - Conference code: 21

PY - 2019

Y1 - 2019

N2 - Analyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders. However, current data-driven communication tools are detached from the analysis process and promote linear stories that forego the hierarchical and branching nature of data analysis, which leads to either too much or too little detail in the final report. We propose a conceptual design for integrated data-driven reporting that allows for iterative structuring of insights into hierarchies linked to analytic provenance and chosen analysis views. The hierarchies become dynamic and interactive reports where collaborators can review and modify the analysis at a desired level of detail. Our web-based INSIDEINSIGHTS system provides interaction techniques to annotate states of analytic components, structure annotations, and link them to appropriate presentation views. We demonstrate the generality and usefulness of our system with two use cases and a qualitative expert review.

AB - Analyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders. However, current data-driven communication tools are detached from the analysis process and promote linear stories that forego the hierarchical and branching nature of data analysis, which leads to either too much or too little detail in the final report. We propose a conceptual design for integrated data-driven reporting that allows for iterative structuring of insights into hierarchies linked to analytic provenance and chosen analysis views. The hierarchies become dynamic and interactive reports where collaborators can review and modify the analysis at a desired level of detail. Our web-based INSIDEINSIGHTS system provides interaction techniques to annotate states of analytic components, structure annotations, and link them to appropriate presentation views. We demonstrate the generality and usefulness of our system with two use cases and a qualitative expert review.

KW - Collaborative and social computing

KW - Human-centered computing

KW - Visual analytics

KW - Visualization toolkits

UR - http://www.scopus.com/inward/record.url?scp=85070108487&partnerID=8YFLogxK

U2 - 10.1111/cgf.13717

DO - 10.1111/cgf.13717

M3 - Conference article

SN - 1467-8659

VL - 38

SP - 649

EP - 661

JO - Computer Graphics Forum

JF - Computer Graphics Forum

IS - 3

T2 - Eurographics Conference on Visualization (EuroVis) 2019

Y2 - 3 June 2019 through 7 June 2019

ER -