Birst

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OMB Data Visualization Tool Requirements Analysis: Birst

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 Two Magic Quadrant Leaders on Common Data Sets (Tableau and Spotfire)
  • Spotfire Was Able to Reproduce All the Tableau Data Visualizations With Dynamically Linked Visualizations.
  • Broaden This Requirements Analysis to Include More Sample Data Sets and Tools.
  • OMB Has Used Birst Which Is a Challenger in the Gartner Magic Quadrant.

Some Conclusions and Recommendations

  • OMB Has Used Birst and Semantic Community Was Able to Reproduce the Birst Sample Dashboard With Spotfire.
  • Semantic Community Has Used The Four Lessons Learned Using Dashboards in Government and Tufte’s Principles of Design in Recreating 7 of the 11 Administration Dashboards.
  • The FederalTransparency.gov Spotfire Dashboards Are This Data Scientist's Audition for the Recovery Independent Advisory Panel and Show That Spotfire Is Able to Create Multiple Industrial-Strength Dashboards.
  • Semantic Community Will Continue to Use The Gartner Magic Quadrant Leader Tools and Their Sample Data Sets and to Recreate Visualizations and Dashboards.

Spotfire Dashboard

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

Slides

Slides

Slide 1 OMB Data Visualization Tool Requirements Analysis: Birst

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

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Slide 2 Background

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Slide 3 Birst Express: Sign Up 1

http://www.birst.com/learn/free-trial

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Slide 5 The Top 10 Business Questions That Drive Your BI Technology Requirements

http://www.birst.com/sites/default/f..._scenarios.pdf

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Slide 13 Birst Data Example: Spotfire Cover Page

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Slide 14 Birst Data Example: Spotfire Business Operations

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Slide 15 Birst Data Example: Spotfire Data Ecosystem

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Slide 16 Birst Data Example: Spotfire World Countries and Cities

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Slide 17 Birst Data Example: Spotfire Web Player

Web Player

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Slide 18 Four Lessons Learned Using Dashboards in Government 1

http://www.federalnewsradio.com/?nid=86&sid=2628077
http://semanticommunity.info/AOL_Government/Use_of_Dashboards_in_Government_-_Been_There_and_Done_That
http://semanticommunity.info/@api/deki/files/15677/BrandNiemann11102011.pptx
http://semanticommunity.info/AOL_Government/Use_of_Dashboards_in_Government_-_Been_There_and_Done_That

BrandNiemann07162013Slide18.PNG

Slide 19 Four Lessons Learned Using Dashboards in Government 2

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Slide 20 Federal Transparency.gov

http://semanticommunity.info/FederalTransparency.gov

BrandNiemann07162013Slide20.PNG

Slide 21 FederalTransparency.gov Spotfire: Recovery.gov

Web Player

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Slide 22 Some Conclusions and Recommendations

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Research Notes

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

Gartner BI Magic Quadrant: Microsoft Strenghts and Cautions Excerpts

Birst offers a broad and highly rated and integrated set of model-centric, enterprise BI and managed business-user-oriented data discovery capabilities and predictive analytics applications that can be deployed in the cloud or in an on-premises appliance for companies that want to take advantage of Birst's product functionality, but are unwilling to put their BI deployments in the cloud.

The product offers a range of enterprise information management and governance features with integrated data connectivity for a broad range of enterprise applications, data warehouse model autogeneration, and autometadata creation for building a unified semantic layer modeled on top of Birst's relational OLAP (ROLAP) engine and in-memory columnar database (or range of third-party databases, including Oracle, SQL Server, ParAccel, Infobright and so on).

Birst provides IT-managed business user data mashup capabilities that enable business users to model their own data (without writing code) in a managed IT sandbox environment sitting on top of the enterprise systems of record repository.

Until now, Birst's focus has been on enterprise application and structured data. It recently added support for constructing map-reduce queries, and for rapidly autogenerating data marts in front of Hadoop, where companies combine and analyze structured and unstructured data from Hadoop.

Birst's growth will be hampered by continued IT apprehension to adopt BI in the cloud as it tries to expand beyond departments and small or midsize businesses (SMBs) to large, centrally managed enterprise BI.

Birst's mobile device support is limited to native iPad capabilities; however, it has plans to deliver HTML5-based dashboards, thereby enabling dissemination of content to a broader set of devices in the future.

Birst courts SAP BusinessObjects and QlikTech partners, as well as regional boutique implementation partners. It is also targeting the reporting OEM market, which currently comprises 40% of business — a space that LogiXML and open-source vendors Pentaho and Jaspersoft are also aggressively pursuing.

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