Big Data

Big Data Analytics: Apply Cases in Developing Countries

Big Data Analytics Apply Cases in Developing Countries

Computing is currently a requirement after — oxygen, water, electricity, gas, and telephones. It’s grown up the ladder of social usefulness due to several service models for cloud computing like Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), and now even Analytics-as-a-Service (AaaS). In the following guide, we will focus especially on Big Data. In layman terms, Substantial data analytics is a procedure that includes examining varied and large data sets. Predominantly, it caters to industry organizations as it readily brings to the fore — hidden patterns, client preferences, market trends, and unknown correlations which in turn help these corporate giants make informed decisions leading to profits. This technology is currently being increasingly used in other sectors for example — agriculture, health, education, and distribution chain-logistics to name a couple.

Magical Things It Can do

In developing economies, there is a lack of proper infrastructure and a lack of inclusive data-keeping techniques that cover even the remotest of areas and rural locations. Big Data can help us reach even those not so readily accessible places and compile information that can then be added to the collated dataset of a country. To simplify, interrelated devices like computing and electronic machines, items, people as well as creatures are bestowed with unique identifiers together with the ability to automatically transfer information within a network. This eliminates the need for the human clerical function of feeding in numbers. We are not discussing the distant future or of technology being used in developed countries but about our nation where many startups are currently working in this domain. Another Indian Reactive energy efficiency startup is utilizing advanced machine learning to make sure significant energy savings for the own consumers. They use machine learning-based models which ensure governance, risk mitigation, quality service, automated and intelligent controls to enable retail and BFSI companies to save up to 30per cent on the electricity bills.

In The Healthcare

The Healthcare industry has tapped the potential of Substantial data analytics potential and has begun to make use of this technique to assist in preventing epidemics (by keeping a list of symptoms, drugs provided, medical reports of a bigger pool of individuals ), curing diseases, and also cutting down prices as every organization does not need to upgrade and preserve individual databases. Substantial data can further highlight the gap between the requirement and distribution of medical facilities in the areas from the means of data. This path-breaking method aids in collecting data and turning it into crucial insights may be utilized as a benchmark by future generations as it’s also a way of documenting history.

Also read: What Is Big Data?

From the supposedly third world nations, Substantial data may also help in gathering data and blending various digital tools without personal bias and prejudices consequently, reducing human-introduced mistakes in addition to encouraging data journalism that will consequently split the back of corruption along with bogus news. Consequently curbing the menace of irrelevant gibberish floating in the media and social circles. Ultimately, we might have a solution to the biggest problem which erupted at the debut of the twentieth-century – Too much, untrustworthy data being circulated to confuse and control mankind.

Efficient selection of true data will highlight what the public needs and will also minimize the time taken in decision making. Slower decision-making and policy execution is often a criticism of individuals residing in democracies especially in a diverse country like India. The regulating bodies can collect a vast degree of information such as demographic trends from the world wide web, programs, social media in addition to other digital platforms that can be further used in their policy-making procedure. From the light of India’s tryst with the Aadhar Card along with the continuous potential threat of flow of this citizen’s data to malicious groups; Substantial data will also cause a centralized system of information thus enhancing its accessibility and security to a fantastic extent. As a result of these reduced risks, it will be a lot easier to execute policies and less politicization and resistance.

Agriculture Sector

In the agriculture industry, Substantial data is establishing a cyber-physical farm management practice. Yes, it isn’t a sci-fi dream but a huge quantity of diverse data could be captured for analysis and study which will aid the farmer’s decision-making process. A Startup turns satellite captured data into high-resolution images that could be used from the farmers to monitor harvest health; and draw attention to various other needs as fertilizer, pest management, and water. Additionally, it warns against a sudden shift in operational states like weather or dispersing of harvest disease. Another firm, Blue River uses machine learning and robotics to direct about farm inputs. Substantial data can aid with complicated needs like choosing business partners, buyers, sellers, etc.. And is also the answer to easy problems in the area. This technology may even help in soil health monitoring.

Also read: What’s Inside The Big Data Toolbox

And contrary to the illusion breaking argument about humans losing jobs to machines Such analysis and technology do not reduce human participation instead increases human presence and control within strategical capability and supervisory roles. Significant data analysis directly aids the stakeholders of the agricultural industry along with keeping a database having the required information regarding the crops, methods of region-specific farming, the base cost of plants, damage control methods utilized, issues troubling the farmers, which surely helps in formulating better targeting agricultural welfare strategies.

In Education Sector

This sector is of primary importance to people and their culture. The aforementioned technology assists in gaining a better insight into individual pupil’s behavior that becomes a foundation stone in creating a learning environment that’s conducive for all of the students. Further, Big info can help in the ongoing task of tracking student actions — how much time they need to answer a query, the sources they refer to for exam prep, questions they generally bypass, etc.. Such information can help the teachers formulate remedial actions that could bring down the dropout rate in universities and schools alike. The database can also track and store information about the performance of pupils after school or college, in the work marketplace. This would also guide the next batch of students in deciding on the ideal course and college.

While there are so many pros of Substantial data, some researchers think that such algorithms will swallow occupations and unemployment rates would reach its pinnacle. It’s true that they efficiently procure a great volume of information in lesser time than a human work but we still require a skilled human mind to link the stats into other factors and sort conclusive figures that can help as compared to raw data shared with the algorithm. Like most other technological advancements it is to make the human being’s work more suitable and life much easy.

Written by
Arpit Singhal

I love working with Blogging and doing it the right way. #1goal: Keeping it as simple as possible for viewers.

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