Big data storage is not a tough task to current organizational context. There could be n number of big data on different aspects of a company, but storing will not serve the purpose. Analysis and implementation are the most necessary part in any business. So that means it requires specialized personnel and a processing tools and techniques which can leverage these data into predictive modelling. But in the current context only 23% of total industrial scenario can have that resource to successfully implement. Most of the cases the organizational legacy system takes too long, time to process these data and becomes non contextual in the business sector.
To read, follow: http://www.cio.com/article/3075423/it-strategy/it-wants-but-struggles-to-operationalize-big-data.html