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Data Visualization

  • Setting the stage to effectively visualize data

    E-Handbook -The piles of data gathered from business intelligence and analytics tools is of little use to BI, data management and IT teams if they don't have a good way to visualize the data. To put data to effective use, IT teams need to construct an infrastructure that will send data to the right people and have it appear clear, simple and easy to use.

    This three-part guide takes a look at how to create a foundation that allows business users to take advantage of that data. Ed Burns and Craig Stedman kick things off with a look at the recent TDWI Executive Summit in Las Vegas. At the conference, BI and data management teams shared how focusing on architecture enhanced their analytics efforts. Next, David Teich looks at why business users still need help from IT when they use self-service BI tools to analyze and visualize data. The concluding article looks at how a shipping company is using location-based analytics and visualization.

  • Self-service BI tools don't push IT teams to the sidelines

    Feature -Self-service BI tools aren't self-sufficient -- data governance concerns and the complexity of data visualization mean IT teams must remain in the mix.

  • Digital ad delivery firm Adstream uses Pentaho to add analytics edge

    Feature -Global digital asset management company Adstream turns to Pentaho’s data integration technology to mount its Adbank platform

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Data visualization tools from searchBusinessAnalytics.com

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Data mashups from searchBusinessAnalytics.com

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Data visualization software from searchBusinessAnalytics.com

  • Setting the stage to effectively visualize data

    E-Handbook -The piles of data gathered from business intelligence and analytics tools is of little use to BI, data management and IT teams if they don't have a good way to visualize the data. To put data to effective use, IT teams need to construct an infrastructure that will send data to the right people and have it appear clear, simple and easy to use.

    This three-part guide takes a look at how to create a foundation that allows business users to take advantage of that data. Ed Burns and Craig Stedman kick things off with a look at the recent TDWI Executive Summit in Las Vegas. At the conference, BI and data management teams shared how focusing on architecture enhanced their analytics efforts. Next, David Teich looks at why business users still need help from IT when they use self-service BI tools to analyze and visualize data. The concluding article looks at how a shipping company is using location-based analytics and visualization.

  • Relief groups get big helping hand from self-service BI tools

    Feature -Fundraising for charitable organizations can be extremely competitive, so some nonprofits are turning to self-service BI to help gain an edge in attracting donors and improving operations.

  • Data analytics applications let teams call new ticket-pricing plays

    Feature -Professional sports teams are increasingly embracing analytics tools to help them implement dynamic pricing strategies designed to enable them to capture as much ticket revenue as possible.

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