Embedding Data Visualization in Rich Internet Applications [Crocs Mary Jane]
Whether embedded in an enterprise or customer-facing application,
DV can simplify, organize, and present complex data in graphic patterns
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accurately. Presented visually, map-based data can help shipping
professionals manage fleets and routes more effectively or help
emergency-rescue teams respond better during disasters. Business
intelligence data, presented visually via dashboards, helps executives
spot business opportunities or threats in just a glance. Manufacturing
data can be visualized to support product configurators. Personal
checking account data can be visualized for consumers to depict deposit
and spending behaviors. Ultimately, as long as the data is accurate and
presented in a way that makes sense to users, data visualization leads
to faster, more-informed decision making.
Developers are increasingly expected to embed data visualization in
existing product offerings or to develop standalone data visualization
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developers. In part, the difficulty stems from the growing number of
one-off data visualization components that are proliferating all over
the Internet. Most of these component libraries are built by
third-parties that specialize in DV, rather than application
development. Because these libraries are not always built with proven
applications in mind, practical use by professional developers can be
questionable.
Contributing to further fragmentation, licensing models vary from
library to library. Some components are commercial. Some are open
source. Some are extensible and some are not. Some are supported by
small contributor bases that may not be able or willing to keep pace
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existing tools, meaning that authoring DV capabilities into your
application becomes a manual process. Yet mature, well-tested
technology is available for developers who seek proven, integrated data
visualization tools.
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