Data analytics is a combination of different methods that are meant to create new information and models from collected data. Data analytics together with both data processing and visualization has been a rapidly growing trend as it allows companies and their employees to conduct solutions that create a competitive edge from their data sources without a need of any significant coding skills or vast resources.

Adoption Considerations:
The data sources are diverse and pre-processing must be done in order to have the data in the right format depending on the tasks under study. This relates to standardization and novel interoperability mechanisms for sharing data from multi-sources.
Blockchain takes in Big Data is more secure, as the data cannot be forged or falsified. In the agriculture domain, smart contracts together with automated payments; agricultural insurance, green bonds, and traceability could be the game-changer.