• Sponsored Content

  • Visual Analysis for Everyone
    This whitepaper describes how Tableau Software solves problems with a declarative visual query language (VizQL), describes how to query data and how to present it visually.
  • Show Me: Automatic Presentation for Visual Analysis
    This paper describes Show Me, an integrated set of user interface commands and defaults that incorporate automatic presentation into a commercial visual analysis system called Tableau.

• Marketplace

  • Find Data Visualization products & services on
    DM Review Marketplace

• Channel Resources

  Articles from this Site

  • Top Five Myths Associated with the Physical Layer

  • BI for All, not BR for the Few

  • Sentinel Visualizer is Now Available Beyond the Intelligence Community

  • Tableau Version 3.0 Debuts with Commanding New Visual Analysis

  • Pitney Bowes to Acquire MapInfo

  • More Articles from this Site

  White Papers

  • Deploying Dashboards and Scorecards

  • Designing Executive Dashboards

  • What's Wrong with this Picture?

  • Video: IBM Takes Clients Shopping to Build a Better Bank

  • Common Pitfalls in Dashboard Design

  • More White Papers

  Web Seminars

  • Hyperion Visual Explorer: Improve Visibility into Performance Management

  • Modeling Unstructured Data

  • More Web Seminars

  Books

  • Building the Operational Data Store, 2nd Edition

  • The Data Warehouse Challenge: Taming Data Chaos

  • Data Stores, Data Warehousing and the Zachman Framework: Managing Enterprise Knowledge

  • Fundamentals of Database Systems

  • Information Visualization in Data Mining and Knowledge Discovery

  • More Books

FREE DM Review Site Registration!

Sign-up today and access DM Review on the Web! Your FREE registration entitles you to: FREE email newsletters FREE access to all DM Review content FREE access to web seminars, resource portals, our white paper library and more!     Publisher reserves the right to serve qualified requesters only.

Data Visualization Channel

Channel Sponsored by

Tableau Software, a privately held company in Seattle WA, builds software that delivers fast analytics and visualization to everyday businesspeople. Our mission is simple: help people see and understand data. Tableau’s easy-to-install products integrate data exploration and visualization to make analytics fast, easy and fun. They include Tableau Desktop, Tableau Server and the no-charge Tableau Reader.

We understand the needs of businesspeople, non-technical and technical alike, when it comes to retrieving and analyzing large volumes of data. As a result, Tableau has already attracted over 10,000 licensed users in companies from one-person businesses to the world’s largest organizations.

Tableau Software began as an extensive R&D project inside Stanford University’s prestigious Department of Computer Science. Professor Pat Hanrahan and Chris Stolte, a Ph.D. student at the time, together combined a structured query language for databases with the communication power of visual graphics, inventing a new database visualization language called VizQL (Visual Query Language).

Tableau, under the technical leadership of Hanrahan and Stolte and the business leadership of CEO Christian Chabot, used the VizQL foundation to produce a fundamentally new way of interacting with the same relational databases that are the backbone of the global database and business intelligence markets.

Articles

Business Requirements for BI

Business intelligence today is undergoing a transformation.

A Ménage à Trois of Data, Eyes and Mind

There is only one reason to present information visually: to bring to light meanings in data that might remain hidden from view if displayed in other ways. When pictures can tell the story better than any other means, visualization is the proper mode of display.

The Silent March of Data Visualization

Data visualization is rapidly getting recognized for the value it brings by delivering BI to the business users.

Columns

Optimizing Entity Data Quality, Part 1

Undertaking a project to rationalize, cleanse and maintain entity data across an enterprise can be a daunting prospect. My columns this month and next will provide a high-level framework for establishing priorities and creating metrics that you can use to implement an entity data quality enhancement program. The information that you have about businesses - customers, prospects, vendors, counterparties - across your enterprise is actually a bundle of facts, or attributes, about these businesses. Within your…

Think Data Instead of Process

Are there techniques that you have used with success to help get people thinking data instead of processing it?

BI for All, not BR for the Few

Yuletide Lite Plus a Few Graphs

A look at the past year and a glimpse into the future of open source BI.

White Papers

Deploying Dashboards and Scorecards

By Wayne W. Eckerson

Designing Executive Dashboards

By Business Objects (Thomas W. Gonzalez )

What's Wrong with this Picture?

By Delaney Turner

Video: IBM Takes Clients Shopping to Build a Better Bank

Common Pitfalls in Dashboard Design

By Stephen Few, Perceptual Edge

Books

	Building the Operational Data Store, 2nd Edition By W. H. Inmon
	The Data Warehouse Challenge: Taming Data Chaos By Michael H. Brackett
	Data Stores, Data Warehousing and the Zachman Framework: Managing Enterprise Knowledge By W. H. Inmon, John A. Zachman and Jonathan G. Geiger