Data Analytics for Rural Development

Data Analytics for Rural Development

The government of India is promoting the economy's overall growth through programs like the unique identification (UID) Project, rural employment poverty-uplift

Data Analytics for Rural Development


Big data has a significant impact on practically every business area. The marketing and e-commerce industries have received the majority of usage so far. Nevertheless, big data's extensive reach can offer far more creative, lucrative, and advantageous answers for several enduring issues presented by various sectors. Agriculture, self-employment, construction, services, and other economic activities in rural India are essential to the nation's economic development. The advancements in the telecommunications industry offer an excellent foundation for the use of data analytics in rural India. The government focuses on creating a digital India by connecting every home, village, panchayat, and government department. This will produce a tonne of data that can be studied to find solutions to the country's never-ending problems.

Introduction and Motivation

Big data's advantages are not just revolutionizing industries in metropolitan areas; they may also be used in other rural regions of the nation. A significant amount of structured and unstructured data is produced daily due to the widespread use of mobile phones and other connected devices. Due to improper farming methods, dispersed land holdings, a lack of an agro-climatic emphasis for crop selection, and a lack of access to the appropriate farming advice at the proper time, productivity in rural India are extremely poor. While increasing farm productivity has been the main focus, minimizing losses along the food supply chain has not received as much attention. The rise of the middle class has increased the demands of individuals and businesses for higher levels of service, and ongoing globalization is pressuring the government to draw in foreign capital for economic growth by enhancing public assistance to make India an attractive location for both individuals and businesses.

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The government of India is promoting the economy's overall growth through programs like the unique identification (UID) Project, rural employment poverty-uplifting measures, and financial inclusion initiatives. Spending on analytics, geographic information systems (GIS), risk management software, portfolio management, portal upgrades, web content management, and customer interaction solutions will be driven by the push toward policy innovation and digital India through broadband roads.

According to the national e-Government plan, 250,000 telecenters should be built in rural areas to give residents access to computers and online service delivery. Location, age, and gender are typically recorded to provide a window on the interests and concerns of information seekers. For instance, UNICEF's "Digital Drum" gives people in remote areas the opportunity to look for information on various topics, such as agriculture, health, and education, as well as business guidance and entertainment.

The government uses technology to increase public and private financial networks in rural areas. Internal governance and government transparency are made more accessible through external access, thanks to the integration of information and services for citizens. Making helpful information out of imprecise, complex, and frequently unstructured data is all about big data for development.

Big Data

Big data technologies are a new generation of technologies and architectures that enable high-velocity data capture, discovery, and analysis. They are intended to cheaply extract value from huge volumes of a wide range of data. Big data offers improved storage (volume), the capacity to analyze the data and make it available in real-time (velocity), and the capacity to manage a range of data sources, including structured, semi-structured, and unstructured ones (variety) 2. The global big data technology and services market is anticipated to reach $16.9 billion by 2015 at a Compound Annual Growth Rate (CAGR) of 40%, roughly seven times the rate of the ICT sector as a whole3.

Limitations of Research

In India, the use of big data is still in its infancy. In particular, because the conceptual framework is geared toward rural development, it could not gather primary data for the study. 10. Future Research's Purpose The suggested framework is at a very high level to serve as the foundation for additional advanced analytics research that is industry-specific. e.g., Finding patients who are at risk of readmission can help with effective resource allocation and may even result in annual healthcare cost savings of millions of dollars. It will make creating new, cutting-edge analytical models to forecast outcomes from complicated hospitalization data effectively. Exploring the execution strategies to improve the analyses' efficacy would necessitate a thorough investigation.

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