The Difference Between Server-Based And Desktop Data Visualization Tools

Data visualization tools have greatly enhanced the ability of an enterprise to process information and discover trends with a goal of improving corporate performance. Through the use of easy to use dashboards and visual analyses, data that was once hard to digest and took hours to manipulate can now be made usable to everyone in the company. The concept that drives data visualization tools is this: how can you best communicate the necessities without intimidating business users? It is not enough to come up with an elaborate, beautiful, and glossy visual if the message is lost in the presentation. At the same time, communicating clearly should not sacrifice aesthetics.

There are two different kinds of data visualization tools: desktop-based and server-based best data visualization tools . Which is best? Look at the differences and decide for yourself:

Desktop tools need to connect directly to the data. Server tools allow clients to “connect” remotely. How much money have you poured into infrastructure? Do you want to add to the TCO of a solution by adding ongoing desktop maintenance efforts? Server-based tools, by allowing remote connection, give the option of working from home that can cut back on building costs and expenses while also giving employees more trust and personal freedom.

Desktop tools develop a single view of the data, which can then be published. Server-based tools secure data and can be customized to the person viewing it. Server-based visualization tools take into consideration the individuality of each user, and help you to maintain control over what information is available. With server-based software, the “need to know” plan is more efficient to keep up.

Desktop software use either a single dataset, or have a scripting language to pull multiple sources together. Server-based tools provide end-user data mashup, which is a drag-and-drop way of manipulating and combining data from many sources. With desktop solutions, sharing new datasets that individuals provide is not possible.

Desktop tools are targeted narrowly at analysts who have advanced enough skills to do the configuration and scripting necessary to build a dashboard. Server-based tools are targeted at a broad range of users, because the infrastructure only needs to be setup once and then mashups and dashboards can be created with simple drag and drop design methods. Desktop software keeps data configuration in the hands of a few, while server-based solutions empower your employees to function independently and effectively in a self-service BI manner.

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