The amount of data generated around the world is increasing at an exponential rate. Approximately 350,000 Instagram posts will have been posted, as well as 21 million gigabytes of data traffic will have been processed on the internet by the time you have finished reading this article. Big data is present throughout every aspect of our lives. However, did you know that big industries, like the agriculture and the healthcare sector, use Big Data? As Big Data becomes more pervasive in our everyday routines, our attention has moved away from the fanfare and has shifted toward discovering significant benefit in its application.
This article will walk about how three very different business industries can leverage Big Data.
Farmers are unlikely to be the first people who immediately spring to mind when discussing Big Data. However, big data are becoming increasingly essential in agricultural production, and they are expected to become even more so in the future since there is a pressing demand to generate more food for an increasing population while using minimal land.
First, Big Data offers the agricultural sector detailed information about weather trends, water cycles and nutrient management demands[DCRS1] , among other things. Big Data allows businesses to make informed choices on which crops to grow or when to harvest for greater profit. In the United States, the Digital Transmission Network (DTN) of Schneider Electric enables clients access to vital agricultural information and Big Data. DTN invested in a sophisticated big data technology that allowed them to combine data from different sources without writing much custom code. DTN integrated significant weather and agricultural information across farms to deliver reliable forecasts that allow farmers to improve yields and reduce costs, enabling them to operate their businesses effectively. Apart from that, manufacturers such as John Deere have incorporated sensing devices into their agricultural machinery and utilised big data technologies to aid tractor management. This kind of supervision could benefit intensive agriculture in big farms, as it informs operators of tractor readiness, maintenance schedules or petrol refilling warnings[DCRS2] . Essentially, this maximises utilisation while also ensuring the longevity of agricultural machinery.
Traditionally, farming success has been heavily reliant on preferable forces of nature; however, that is no longer the case. Big Data has quickly become a crucial tool for the integrated farming and agribusiness industry, ensuring that farmers have enough data pipelines to execute effective decisions.
By offering tailored treatment through predictive analytics, Big Data is a significant element in enhancing the world's healthcare system. Researchers can use data to investigate conditions, determine which treatment options will be most impactful, recognise trends associated with drug complications, strategy for therapeutics and even develop vaccines[DCRS3] .
Moreover, New Jersey Institute of Technology researchers have developed DrugTrackers, a framework for monitoring and supporting community-based drug abuse. DrugTracker gathers data from online social media sites like Facebook, Twitter or Reddit and pairs it with geographic data to discover where users are buying illegal drugs.
As governments produce and gather large amounts of data throughout their daily operations, they have become highly conscious of the usefulness of Big Data. The advantages of Big Data in the public sector can be seen in three aspects:
In the absence of a well-established and modern Big Data system, governments face a harsh amount of paperwork, face tremendous odds in transmitting and receiving information, redundancy or even uncertainty in ensuring their data is secure.. In light of the vast volume of data generated by millions of devices, different government departments, and other sources, the public sector should adopt a data-driven approach.
With that said, information management methods focused solely on projected use will not satisfy the demands of today's changing business world. By implementing Big Data strategies, you can prepare for unforeseen data requirements as well as predictive analysis throughout your business’s boundaries. Big Data can be fully utilized in business operations to facilitate decision makers to modify their limitations based on new market trend and even to spontaneously take action relying on customer-focused analyses.
Think Axis’s highly comprehensive self-service app suite has the ability to completely transform the way your business runs. In Think Axis, we offer data management solutions in a seamless manner—enabling your business to store, manage and share information that will benefit you and your customers.
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