A great deal has been composed about achievement and disappointment of Big Data and Analytics ventures as of late. Tragically, the majority of the articles and blog entries on this subject neglect to highlight genuine reasons why Big Data ventures come up short. Given underneath are main 5 reasons, as I would like to think, why most Big Data and Analytics venture fall flat. They are:
1. Inability to characterize use case in target terms
2. Inability to utilize right innovation
3. Inability to concentrate on business necessities to start with, innovation next
4. Inability to influence every accessible dat sets and resources
5. Inability to successfully utilize force of cutting edge examination
1. Inability to characterize use case in target terms
2. Inability to utilize right innovation
3. Inability to concentrate on business necessities to start with, innovation next
4. Inability to influence every accessible dat sets and resources
5. Inability to successfully utilize force of cutting edge examination
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