QlikView

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OMB Data Visualization Tool Requirements Analysis: QlikView

Slides

Background

  • DRAFT White Paper for OMB Pittsburgh, July 11, 2013.
  • Start With the End in Mind, Avoid Tool Wars, and Develop Well-designed Spreadsheets That Can be “Dragged and Dropped” Onto a Tool That Creates Statistics and Visualizations in the Public and Private Clouds.
  • Focus on Requirements Analysis by First Comparing  Magic Quadrant Leaders on Common Data Sets.
  • Spotfire Was Able to Reproduce All the Tableau and Brist Data Visualizations With Dynamically Linked Visualizations.
  • Broaden This Requirements Analysis to Include More Sample Data Sets and Tools.
  • QlikView Is a Leader in the Gartner Magic Quadrant.

Some Conclusions and Recommendations

  • Semantic Community Was Able to Build the QlikView Personal Edition: Build Your First Application More Readily With Spotfire Using the Nwind Access Database.
  • Spotfire Is Able to Match or Exceed the Visualization Types and Their Options in QlikView.
  • Semantic Community Will Continue to Use The Gartner Magic Quadrant Leader Tools and Their Sample Data Sets and to Recreate Visualizations and Dashboards.

Slides

Slides

Slide 1 OMB Data Visualization Tool Requirements Analysis: QlikView

http://semanticommunity.info/
http://breakinggov.com/author/brand-niemann/
http://semanticommunity.info/Data_Science/Free_Data_Visualization_and_Analysis_Tools/QlikView

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Slide 2 Background

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Slide 3 QlikView: Personal Edition Register

http://www.qlikview.com/us/explore/e...d?ga-link=hero

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Slide 4 QlikView: Download

http://us.demo.qlikview.com/download/

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Slide 5 QlikView Personal Edition: Client

 

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Slide 7 QlikCommunity: Connectivity and Data Sources

http://community.qlikview.com/community/connectivity

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Slide 8 QlikCommunity: First Application

http://community.qlikview.com/docs/DOC-4345

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Slide 9 QlikView Personal Edition: Build Your First Application and Help

http://semanticommunity.info/@api/deki/files/24992/Build_Your_First_Application_in_QlikView_FINAL.pdf
http://semanticommunity.info/@api/deki/files/24990/QlikView_Reference_Manual.pdf

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Slide 10 Nwind Database: Access

http://semanticommunity.info/@api/deki/files/24994/Nwind.mdb

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Slide 11 Nwind Database: Excel

http://semanticommunity.info/@api/deki/files/25011/Nwind.xlsx

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Slide 12 Nwind Database: Spotfire

Web Player

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Slide 13 QlikView Personal Edition: Comparison With Spotfire

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Slide 14 HPN Health Prize: Knowledge Base

http://semanticommunity.info/HPN_Health_Prize#Spotfire_Visualizations

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Slide 15 HPN Health Prize: Spotfire

Web Player

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Slide 16 Qlik Demos: Image Gallery

http://us.demo.qlikview.com/images.aspx

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Slide 17 Qlik Demos: Image Gallery – World Heat Map

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Slide 19 QlikView Personal Edition: Global Games

http://us.demo.qlikview.com/QvAJAXZf...anonymous=true

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Slide 20 The Guardian Data Journalism: Knowledge Base

http://semanticommunity.info/AOL_Government/The_Guardian_Data_Journalism

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Slide 21 Guardian Olympic Medals-Spotfire

Web Player

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Slide 22 Some Conclusions and Recommendations

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Spotfire Dashboard

For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App

Research Notes

Source: http://www.gartner.com/technology/reprints.do?id=1-1DYKLUR&ct=130206&st=sb

Gartner BI Magic Quadrant: QlikView Strenghts and Cautions Excerpts

QlikView is a self-contained BI platform, based on an in-memory data store and newly added direct query access (currently to Teradata, Google BigQuery and Cloudera, with more sources to come in the near future), with a set of well-integrated BI tools. 

Customers most often select QlikView for ease of use for end users, particularly for interactive dashboards; however, the visual-based interactive exploration and analysis capabilities, experience, and time to business user authoring proficiency are generally viewed as inferior to those of its stand-alone data discovery competitors, Tableau and Tibco Spotfire.

While a major update to the platform will help QlikTech better compete against the stand-alone data discovery vendors, as well as against the enterprise features of the traditional BI players (for example, Microsoft, SAP, IBM, Oracle, Information Builders and MicroStrategy), it is not without the risk of disruption for customers at a time when QlikTech is also facing a more intense competitive landscape from these same vendors.

QlikView users reported among the longest report development turnaround times — particularly for building large, complex reports from various data sources, involving detailed logic and calculations — of any vendor in the Magic Quadrant. We expect this to improve as the next version of QlikView rolls out more enterprise features targeted at developer efficiencies, and as more of its customers adopt Expressor and take advantage of reusable metadata components, rather than having to script the data integration for each QlikView application.

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