Big data analytics is the complex process of examining large and varied data sets or big data to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions. Entrepreneur brought this topic to our attention in their article, “Big Data Analytics: Use Cases in Developing Countries.”
In layman terms, big data analytics is a process which includes examining large and varied data sets. This technology is now being increasingly used in other industries such as agriculture, health, education and supply chain-logistics.
For developing economies, there is a lack of proper infrastructure and security. Big data can help us reach even those not so easily accessible places and compile data which can then be added to the collated data set of a country.
This can be possible because of the Internet of Things (IoT), the system of interrelated computing devices, mechanical and digital machines, objects, animals, or people. These are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
