A revolution is happening. Go out onto the web today and you will see a wealth of data visualizations that are highly engaging and dynamic, with examples as varied as Mike Bostocks analysis of Oscar nominated movie trailers in the NYT to Uber Rides In San Francisco!
Conversely the enterprise approach to data visualization follows the Business Intelligence (BI) paradigm. IT Departments invest in BI technology to integrate, model and visualize their ever growing amounts of data. BI tools have always been defined by the data visualization components that they provide. Vendors come to market with a portfolio of predefined charts and graphs, and are always trying to one-up each other on who has the most engaging visualizations. The reality is quite the opposite though, rather than innovating and staying ahead of the competition, vendors are often playing catch up to their customer base, with a backlog of feature requests, for “another chart type”. The enterprise loses out, always being short changed on what they are able to provide to their users.
So what is this Data Visualization Revolution?
Savvy developers in the enterprise have caught onto the fact that they no longer have to miss out on this online trend and wait for the BI tools to catch up. They can take these open source libraries (or growing amount of commercially available tools) and start building equally engaging views for their business and become the data heroes in their organizations.
But there is a flaw. Getting one or two compelling charts and graphs out to their users is easy. Scaling that to an enterprise level whereby they are connecting to varied and dynamically changing data sources, building hundreds of charts and graphs and controlling deployment of those across the organization is extremely complex.
Why is this?
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