#4 Measuring ROI on big data initiatives:

Every organization nowadays talks about the ROI returns in a big data project. The first and foremost thing before judging a ROI return is examining the value and appeal of the project. It’s a common sight that most of the organizations ensure that a cost benefiting scenario is attached along with the project.

The first tip in big data ROI is the analyzing the amount of big data being used. More the data more will be the cost. Always big data implementation is to cost more. And what raises the cost even more is the maintenance and applications that support big data. One of the best methods for big data support is opting for Hadoop support, which is relatively of low cost compared to traditional legacy systems.

Another sector that covers big data cost is the storage. Traditionally companies had to use large data warehouses and other storage facilities for hoarding. But with trend changers like cloud computing and virtualization on the rise, the face of storage platform has simply changed. Now data can be stored and managed in the cloud in seconds. But all these facilities go with expense, which mean organizations must really be aware of what big data means to the organization and what are the phases that they need to accomplish.

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