The rise in social media, the rapid increase of digital computing devices, and the widespread growth of internet access have led to enormous amounts of public data. Practical techniques and algorithms to assess this tremendous amount of data can give real-time insights into the upcoming trends and generates alerts during an emergency.
Moreover, careful analysis of this data helps identify valuable signs about the political and economic events that can lead to improvised public policies. The ability of the Big Data techniques for development can revolutionize education, healthcare, agriculture, support humanitarian crises, and facilitate poverty alleviation and violent conflicts.
Deploying Big data in vital economic sectors solves some significant global issues. It is anticipated that big data can revolutionize the farming sector, and the day is not long when Big Data can help assess the soil type, the relevant seeds, area of purchase, how to sow, and the best time to plant and harvest. Also, its effect is impressive across critical development areas. Herein, you will learn how Big Data can be used in large corporations and across other activities globally.
Let us identify the relevance, benefits, and worthwhileness of Big Data:
Big Data creates a tremendous benefit globally. It can better understand poverty and come up with the appropriate measures. The call detail record (CDR) gives better insights into the slum population, which can help predict the economic needs such as food, water supply, and sanitation.
For instance, Engineering Social Systems (ESS) uses the geo-coded cell phone transaction data to represent slum growth that can aid governments in allocating resources to infrastructure development and other activities.
On the other end, the data collection and analysis process, such as surveys’ value, is less significant and time-consuming to generate the required results. Development problems are being addressed using tools and expertise in making decisions concerning behavioral advertising depending on real-time consumer profiling.
For instance, the data generated on the social media channels such as Twitter is being analyzed to find early signs that can result in a rise in food prices, increased unemployment, or the outbreak of any deadly disease.
Big Data for development
In this section, you will find the significant development areas where Big Data is applicable.
Big Data can play a crucial role when a natural disaster strikes the world. Here is an instance of how Big Data helped in real-time situations when an earthquake hit Haiti in 2010. Big Data techniques have been used to find meaning in the quickly changing online information, such as tweets and SMS, which were generated post-disaster. Using the analytical methods with the help of ML tools and procedures, actionable information can be retrieved from the data.
At the same time, it is essential to focus on the credibility of the data. With the increase of digital communication devices, chances do exist for generating fake datasets. The AI and ML techniques can help verify the data.
Big Data is transforming the way traditional medical diagnosis and treatment happen. Big Data can perform medical diagnoses by integrating data collected from the patients’ medical records, real-time wearable sensors to know their health and even warn the patient if their health is on a hazardous track.
This helps doctors to treat any harmful disease in the early stages. For more comfortable and efficient treatment, a person with a smart device can access medical services through healthcare apps to gain quick and personalized assistance from home.
Medical practice can experience more excellent benefits by combining medicine and data science.
Now, most of the patients’ data is stored electronically in the different databases of various medical service providers. So, this data exists as various fragments to provide incomplete information. Resolution exists in integrating all these fragments, which helps study diseases quickly and predict them much earlier.
Moreover, such results build appropriate medication and immunization much early before things worsen.
Big Data is revolutionizing the education sector using the digital version of the textbook. Learning analytics (LA) and educational data mining(EDM) are significant developments related to Big Data. Learning analytics combines learning and data analytics. Thus researchers across science, social science, data science, and computer science come together to serve various purposes such as predictive analysis, personalized learning, sentiment analysis, social network, and enhanced curriculum designs.
Educational data mining is also an emerging field like LA. Data mining and ML techniques are applied to the data to represent the student interaction with the online educational system, which can be stored at massive open online courses (MOOCs) for the students to learn better.
We have a significant influence of big data on human development. The future of Big Data will prosper human development. Also, it is equally essential for the researchers to tackle the challenges identified.
We at Onpassive Digital are work towards making Data Analytics and Big Data available to all the businesses and help them in achieving their maximum reach and realizing goals.