Impact of Big Data Analytics on Business, Economy, Health Care and Society.Paradox,Future: Big Data Analytics for Social Welfare (Big Data Analytics-Series-4) by Ajit Roy

Author:Ajit Roy
Language: eng
Format: azw3, epub
Publisher: ajt kumar roy
Published: 2015-09-23T07:00:00+00:00

2. Small Steps Bring Big Rewards

It‘s tempting to belie ve that big data analytics success is within your grasp provided you buy the right technology and commit enough resources to the project. In reality, a big data deployment typically requires significant systems and data integration work; introduces new tools and analytics techniques; and calls for new skills on both the systems management and analytics sides. Trying to boil the ocean will result only in doing too much, too fast—a recipe for frustration and failure. For better results, an organization should plan to build its big data environment incrementally and iteratively. An incremental program is the most costand resource effective approach; it also reduces risks com-pared with an all-at-once project, and it enables the organization to grow its skills and experience levels and then apply the new capabilities to the next part of the overall project. An architectural framework still needs to be established early on to help guide the plans for individual elements of a big data program. But because the initial big data efforts likely will be a learning experience, and because technology is rapidly advancing and business requirements are all but sure to change, the architectural framework will need to be adaptive.

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