How The Public Sector In India Is Leveraging Big Data To Drive Economy?
Global Tech Outlook analyzes how the public sector in India is harnessing big data
The public sector in India has identified that leveraging big data and data analytics can drive the growth of the economy in the future. The data-driven culture is supplying enormous sets of complicated real-time data such as structured as well as unstructured data through multiple sources like smartphones or other smart devices. The public sector of India is letting big data driving the economy to improve the outcomes of multiple public events and programmes. There are several missions of the Government of India for the public sector such as Digital India, UID Scheme, Smart Cities, and many more. These missions need the help of big data and accurate data analytics to drive the Indian economy efficiently and effectively without any potential error.
Different schemes for the public sector in India are intended to collect enormous sets of data through the digital mode for implementing big data tools. These programmes involve a large-scale digitalization, collection of data digitally, and processing the data to drive the Indian economy. Thus, India is becoming one of the largest producers of big data in the world. There are multiple ways in which the public sector in India is leveraging big data to drive the economy.
Project Insight leverages big data for effective data mining and data analytics to detect and identify tax frauds and evaders. Big data will help to pursue and nudge asses sees into filing for tax returns as well as comply with tax laws. Project Insight will process different forms of data through data analytics from different sources to identify the frauds and evaders efficiently and effectively. It is estimated that tax evasions hold around 10% to 15% of the Indian GDP. Thus, bigdata is set to drive the Indian economy by identifying the tax evaders in the nearby future.
Bigdata is driving the economy of India through the partnership between NITI Aayog and IBM to develop AI models to detect and predict crop yield with the use of artificial intelligence. Big data tends to help in the improvement of revenue for the marginal farmers in seven states with sensor data— Assam, Jharkhand, Rajasthan, Maharashtra, Uttar Pradesh, Bihar, and Madhya Pradesh. Data analytics include the analysis of data from temperature, water level, soil composition, gene sequencing, pest control, and many more.
One of the biggest usages of bigdata in the Indian public sector is in the healthcare industry, especially post-COVID-19 pandemic. Effective data analytics has reshaped the healthcare industry through autonomous decisions, teleclinical, controlling new COVID-19 patients, tracking old COVID-19 patients, and successfully restricting the spread of the virus. Big data is helping India to harness predictive analytics for analyzing data to provide meaningful insights on curbing the spread and right time to open businesses to avoid a drastic effect on the GDP.