Big Data changes the world of analytics. Using the large volume of information, the analytics turn the data analysis to incredibly profitable business, with revenues expected to grow to $203 billion by 2020.

The blockchain technologies can add up to 20% of the global Big Data market and generate up to 4100 billion in annual income.

The use of blockchain-based technologies (BCT) adds another data layer to the Big Data analytics process. Most importantly, this data layer complies with 2 main demands of the Big Data analysis:

Blockchain-generated Big Data is secure, as it cannot be forged due to the network architecture. Blockchain-based Big Data is valuable, meaning it is structured, abundant and complete, making it a perfect source for further analysis.

The data in the ledger can relate to energy trading, real estate and a variety of other domains. There are multiple Big Data analytics improvements stemming from this fact. For instance, fraud prevention, as the blockchain technology allows the financial institutions to check every transaction real-time. Thus said, instead of analyzing the records of the fraud that already happened, the banks are able to identify risky or fraudulent transactions on the fly and prevent the fraud entirely.

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