Visual Analytics for the Big Data Era - Semantic Scholar
VISUAL ANALYTICS FOR THE BIG DATA ERA – A COMPARATIVE REVIEW OF STATE-OF-THE-ART COMMERCIAL SYSTEMS
Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, Daniel Keim (University of Konstanz, Germany)
Outline
Motivation Survey Design Results Summary of Key Findings Conclusions
Outline
Motivation Survey Design Survey Result Summary of Key Findings Conclusions
Motivation
Big Data Era
A survey of VA systems
What is available
provide overview of the state-of-the-art stimulate innovative ideas avoid redundant effort survey of open source tools survey of BI tools
What is missing
comparison of commercial VA tools
Our Goal
Complementing existing surveys An encompassing survey of commercial VA systems
functional comparison benchmark system performance
Provide recommendations to potential users Identify future directions for VA system development
Outline
Motivation Survey Design Results Summary of Key Findings Conclusions
Workflow
Identify relevant commercial systems
study current market share, select systems in different categories, assign priority level for each system
Design structured questionnaire for functional comparison Analyze functional comparison result Further investigation on top-priority systems
system stress test, test against benchmark data
In this paper…
We report our findings on the systems
15 systems in the initial list
Tableau, Spotfire, QlikView, JMP (SAS), JasperSoft, ADVIZOR Solutions, Board, Centrifuge, Visual Analytics, Visual Mining Cognos(IBM), SQL Server BI (Microsoft), Business Objects (SAP), Teradata, PowerPivot (Microsoft)
10 answered our questionnaire (in green) Some additional text analysis systems investigated
nSpace (Oculus), Palentir, and In-Spire (PNNL)
Outline
Motivation Survey Design Results Summary of Key Findings Conclusions
Results
Part 1: functional comparison Part 2: test with data
Use cases Scalability (loading stress) test
Functional Comparison
Data Management Data Modelling Visualization System and Architecture
Data Management
Data Modelling
Visualization
System and Architecture
Benchmarking System Performance
Use case study 1.
2.
Practice Fusion Medical Research Data (Health 2.0 Data Challenge) Geospatial and Microblogging Data (VAST Challenge 2011)
Scalability test
Use Case 1
Use case 2
Use case 2
Use case 2
Use case 2
Scalability –Loading Stress Test
Outline
Motivation Survey Design Survey Result Summary of Key Findings Conclusions
Key Findings
Tasks categorization Exploration, Dashboarding, Reporting, Alerting
System characteristics
Interactivity Tableau Automatic Analysis Spotfire Data Compression & memory optimization QlikView Analytical add-ons JMP, Cognos Presentation oriented features Centrifuge, Board, Visual Mining, JasperSoft Network visualization Centrifuge, Visual Analytics Linguistic analysis on text documents Business Objects, Cognos, Teradata, nSpace, Palentir, and In-Spire
Outline
Motivation Survey Design Survey Result Summary of Key Findings Conclusions
Concluding Remarks
Semi- and Unstructured Data Advanced Visualization Customizable Visualization Real Time Analysis Predictive Analysis
Thanks for your attention!
Questions?
Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, Daniel Keim (University of Konstanz, Germany)
Outline
Motivation Survey Design Results Summary of Key Findings Conclusions
Outline
Motivation Survey Design Survey Result Summary of Key Findings Conclusions
Motivation
Big Data Era
A survey of VA systems
What is available
provide overview of the state-of-the-art stimulate innovative ideas avoid redundant effort survey of open source tools survey of BI tools
What is missing
comparison of commercial VA tools
Our Goal
Complementing existing surveys An encompassing survey of commercial VA systems
functional comparison benchmark system performance
Provide recommendations to potential users Identify future directions for VA system development
Outline
Motivation Survey Design Results Summary of Key Findings Conclusions
Workflow
Identify relevant commercial systems
study current market share, select systems in different categories, assign priority level for each system
Design structured questionnaire for functional comparison Analyze functional comparison result Further investigation on top-priority systems
system stress test, test against benchmark data
In this paper…
We report our findings on the systems
15 systems in the initial list
Tableau, Spotfire, QlikView, JMP (SAS), JasperSoft, ADVIZOR Solutions, Board, Centrifuge, Visual Analytics, Visual Mining Cognos(IBM), SQL Server BI (Microsoft), Business Objects (SAP), Teradata, PowerPivot (Microsoft)
10 answered our questionnaire (in green) Some additional text analysis systems investigated
nSpace (Oculus), Palentir, and In-Spire (PNNL)
Outline
Motivation Survey Design Results Summary of Key Findings Conclusions
Results
Part 1: functional comparison Part 2: test with data
Use cases Scalability (loading stress) test
Functional Comparison
Data Management Data Modelling Visualization System and Architecture
Data Management
Data Modelling
Visualization
System and Architecture
Benchmarking System Performance
Use case study 1.
2.
Practice Fusion Medical Research Data (Health 2.0 Data Challenge) Geospatial and Microblogging Data (VAST Challenge 2011)
Scalability test
Use Case 1
Use case 2
Use case 2
Use case 2
Use case 2
Scalability –Loading Stress Test
Outline
Motivation Survey Design Survey Result Summary of Key Findings Conclusions
Key Findings
Tasks categorization Exploration, Dashboarding, Reporting, Alerting
System characteristics
Interactivity Tableau Automatic Analysis Spotfire Data Compression & memory optimization QlikView Analytical add-ons JMP, Cognos Presentation oriented features Centrifuge, Board, Visual Mining, JasperSoft Network visualization Centrifuge, Visual Analytics Linguistic analysis on text documents Business Objects, Cognos, Teradata, nSpace, Palentir, and In-Spire
Outline
Motivation Survey Design Survey Result Summary of Key Findings Conclusions
Concluding Remarks
Semi- and Unstructured Data Advanced Visualization Customizable Visualization Real Time Analysis Predictive Analysis
Thanks for your attention!
Questions?
