Visual discovery tools
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  • 1. Visual Discovery ToolsApril 15, 2013
  • 2. What is the status of visual discoverytools in your organization?10%24%18%30%19%No plansUnder considerationUnder developmentPartially deployedFully deployed
  • 3. Which best describes the scale and scopeof your visual discovery deployments?3%25%29%39%5%Not deployedDepartmentalBusiness unitEnterpriseOther
  • 4. How many separate instances of visualdiscovery tools exist in your organization?2%49%14%7%10%6%12%01 to 234 to 56 to 1011 to 2021+
  • 5. To what degree has your organization linkedseparate instances of visual discovery tools?19%45%15%20%None - Instances are not linked; eachare islands of informationSome - Some instances share dataand definitions, but most dontMost - Most instances share dataand definitions, but not allAll - All instances share data andinstances
  • 6. Which data sources are accessed byyour visual discovery tools?72%58%52%49%44%31%12%10%5%Enterprise data warehouseLocal files (e.g. Excel)Enterprise applications (e.g. ERP)Departmental data martDepartmental applications…External dataWeb servicesHadoop/NoSQLOther
  • 7. On average, how many sources of data do your visualdiscovery tools display within a single application?54%22%14%2%4%5%1 to 234 to 56 to 1011 to 2021+
  • 8. What is the corporate policy regardingthe use of visual discovery tools?38%35%32%30%14%13%Standardize on the tools forcreating enterprise dashboardsNo corporate policy neededStandardize on the tools forbusiness analystsStandardize on the tools forcreating departmental dashboardsProhibit departments frompurchasing the toolsRequire the departments to pointthe tools at the EDW
  • 9. Which vendors supply you with visualdiscovery tools?53%35%30%27%20%19%17%12%9%3%2%2%1%1%TableauMicrosoftQlikTechSAP Business ObjectsIBM CognosMicrostrategyOtherSAS InstituteTibco SpotfireInformation BuildersSiSenseActuateAdvizorAlteryx
  • 10. Who are the primary users of yourvisual discovery tools?9%44%47%Casual usersPower usersBoth equally
  • 11. To what degree do casual users use the followingfunctions in the visual discovery tool? (Only “high”responses displayed)37%24%22%15%11%7%4%4%4%Monitor predefined metricsConnect to, explore, and analyze a single data sourceAnalyze predefined metricsConnect to, explore, and analyze multiple data sourceConduct what-if analysisAuthor and publish dashboardsEnter or update dataTransform, clean, and/or combine dataApply data mining algorithms (e.g. regressions)
  • 12. To what degree do power users use the followingfunctions in the visual discovery tool? (Only “high”responses displayed)59%55%49%37%37%33%21%21%20%Connect to, explore, and analyze a single data sourceConnect to, explore, and analyze multiple data sourceAnalyze predefined metricsMonitor predefined metricsConduct what-if analysisAuthor and publish dashboardsEnter or update dataTransform, clean, and/or combine dataApply data mining algorithms (e.g. regressions)
  • 13. How do each of the following groups rate the value ofvisual discovery tools compared to other BI tools inuse at your organization?38%43%18%28%40%31%13%32%49%24%43%31%Much betterBetterNeutralBusiness usersBusiness departmentheadsIT department headsExecutives
  • 14. Which BI tools has your organizationofficially standardized on?87%70%56%45%31%21%Reporting/dashboard toolAd query/analysis toolVisual discovery toolMultidimensional OLAP toolReal-time analytics/dashboard toolData mining tool
  • 15. To what degree did the following drive thedecision to implement visual discovery tools?78%77%66%53%51%51%45%33%25%Better visualizationEasier to useSelf-service analysisFast-changing business requirementsSelf-service authoringQuicker to deployFaster queriesFaster data integrationMore affordable
  • 16. To what degree has your organizationexperienced the following challenges withvisual discovery tools?33%33%32%31%27%21%21%Complexity - Sourcing data from complex ERP/CRM applicationsConsistency - Maintaining data consistency across environmentsFunding - Getting executives to expand to fund the installationor expansion of the softwareData quality - Idetnifying and fixing data quality errorsScalability - Maintaining performance as numbers of users andvolume of data increasesPerformance - Meeting SLAs for response timesIntegration - Integrating the tools with other informationenvironments
  • 17. What are the future plans for thedeployment of visual discovery tools?84%13%2%Expand deploymentMaintain, but not expandDecrease deployment
  • 18. What prevents you from deployingvisual discovery tools?35%29%27%25%19%18%18%12%Our budget is tapped outWe already have suitable BI toolsNot a corporate standardFear of proliferating spreadmartsDont know enough about visual discovery toolsPerformance and scalability issuesOtherNot enough value for the price