DATA ERA A COMPARATIVE REVIEW OF STATE-OF-THE-ART COMMERCIAL - PowerPoint PPT Presentation

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 provide overview of the state-of-the-art  stimulate innovative ideas  avoid redundant effort   What is available 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 Practice Fusion Medical Research Data (Health 2.0 Data 1. Challenge) Geospatial and Microblogging Data (VAST Challenge 2. 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?