Big Data Analytics: A Game Changer for E-Governance


by Analytics Insight


January 28, 2022

One of the key emerging technologies influencing government and business is “Big Data Analytics”

Most of the states and governments in India are focused on harnessing emerging technologies to deliver services to citizens, improve the efficiency of government operation, and ways to increase government revenue.

One of the key emerging technologies influencing government and business is “Big Data Analytics”.

The Big Data Analytics application is an integrated Business Intelligence and data analysis system that includes conventional and Big Data. The government-wide analytics engine collects data from various departmental databases, the internet, social media, sensors, machine logs and other sources. This leads to the enormous growth in the volume of transaction data per day in demanding electronic governance for Big Data Analytics. This analytical engine transforms them and presents them in an analyzable format.

According to Market Research, 75% of Big Data helps government departments improve the quality of life for citizens.

Big Data Analytics provides insight into how government programs and policies are working, and why (descriptive and insightful analytics). It helps determine future scenarios and recommends the best course of action (predictive and prescriptive analytics) to measure citizens’ sentiments and understand their perceptions and attitudes towards government policies.

Big Data is categorized into structured data and unstructured data. Structured data includes information such as property taxes, building permits, criminal records, and motor vehicle records that are typically stored in legacy systems or data warehouses. Unstructured data includes social media, emails, videos and images, etc.

Dimensions of Big Data for Government

Big Data enablers for government are,

  • Overview: Big Data Analytics opens up the possibility of using an unlimited amount of data, especially data to understand citizen sentiment and improve governance. Structural data from newspapers, blogs, social media, news channels, emails, reports, satellites, images, etc. are used for analysis. The insights provided by big data analytics allow the government to predict the future and plan appropriate interventions or make mid-course corrections in all societally important sectors such as health, education, social assistance, urban/rural development and infrastructure.
  • Opportunity: With the use of Data Analytics, government can be PROACTIVE rather than REACTIVE. It is possible to obtain quick and agile responses to the opportunities, threats and challenges facing the government. Today, traditional data could be used to identify these opportunities and threats, it will take time to collect, clean, normalize, and then analyze them.
  • Width: Provides a single view of various data sources – people, entities, land, etc. By combining traditional and big data under one platform, a true 360 ​​degree analytical view is achieved.

Indicative Big Data Business Scenarios in Government

The following list summarizes representative categories where Big Data Analytics systems will be used to improve government and departmental processes.

Integrated services

  • Analyze electronic and social media content and other sources to understand public sentiment on government programs, conduct root cause analysis, and suggest appropriate interventions and mid-course corrections improve program delivery.
  • Predict a disaster by identifying areas likely to be affected and suggesting the necessary prior interventions to mitigate the negative impact on the population.
  • Analyze text entries (unstructured data) in the complaint system and popular print media, identify major issues (region/issue type/frequency/severity) and suggest appropriate corrective actions
  • Design a happiness index, tailored to the socio-economic profile of the government agency, assist the government in conducting appropriate sample surveys, analyze the results and make appropriate recommendations for improving the index

Delivery service

  • Analyze the medium-term impact of development and social protection programs, identify gaps and realign programs for increased effectiveness
  • Analyze the geographical distribution of the different plans and make corrections for a uniform distribution
  • Perform sentiment analysis based on social media and electronic media, and provide appropriate information for action by the municipality
  • Qualitative and quantitative analysis of drinking water supplied to rural populations in dwellings according to set standards through the implementation of various water supply systems under different government programs
  • Data analysis helps us develop child protection programs in the form of promoting education, better health and reducing crime against children. This results in reduced vulnerability of children in all states of India

Statistics

  • Analyze public spending patterns in the 10 main sectors of the economy, identify correlations with progress in achieving relevant Sustainable Development Goals and suggest desired areas and sectors of intervention
  • Analyze GSDP growth trends, geographically and by sector, identify causal factors for high and low growth rates and suggest the right mix of interventions needed to optimize the growth rate of the government’s economy
  • Analysis of the trends of cultivated areas and economics of various crops in the past 5 years, and the position of supply and demand for different agricultural products across the country and to arrive at the optimized area planning grown for various crops in different agro-climatic regions for Government and agricultural planners decision support
  • Analysis of soil health records for the past 5 years, along with crops grown during the period, soil moisture level, rainfall, irrigation control, yield, and other parameters, to arrive at a plan to maximize micronutrient corrections, through targeted interventions
  • Track the number of people who migrated across the country each year by analyzing citizens’ transportation data, over a five-year period.

Productivity gain

  • Monitor road conditions and provide advance recommendations on the best use of resources to produce the best impact on ratepayers.
  • Identify tax evaders, tax evaders and other significant revenue, perform causal analysis and provide decision support
  • To see the flow of goods and how the trade is going
  • Monitor sanitary conditions, analyze climatic and other conditions, and forecast the occurrence of communicable diseases to enable the department to take corrective action
  • Analysis of world commodity prices and provision of advice to farmers on preferred export markets for grain and horticulture export
  • Integrate climate, economic and social data as well as the quality of healthcare provided, identify geographical regions vulnerable to viral diseases and provide decision support to the department (in real time)
  • Use of IoT for Smart City to improve the quality of life of the citizen

Business Benefits

  • Analysis of demand and supply and optimization of the planning of the production and purchase of electricity
  • Analyze property tax assessment and collection trends in various divisions and average collection per property, and provide appropriate advice to divisions to improve tax collections
  • Analyze the price trends of agricultural products (top 5 crops of the last 5 years) forecast prices over the next 6 to 12 months and advise the department on the necessary market interventions

Summary

In summary, Big Data Analytics offers better transparency, while efficiently providing services to citizens. Here are the recommendations on the use of Big Data Analytics in the e-governance space,

  • Provide insight into how government programs and policies work, and why (descriptive and causal analyses)
  • Designing better schemes and projects by being more citizen-centric and efficient
  • Determine probable future scenarios and recommend best courses of action (predictive and prescriptive analytics)
  • Assess the feelings of members of government and understand their perceptions and attitudes towards government policies
  • Provide a dashboard system for administrators to effectively monitor and implement government programs
  • Improve the efficiency of government regulatory and tax collection systems
  • Formulation of good policies that take into account the needs of people
  • Increased trust between government and citizens enables the free flow of information
  • Real-time fraud monitoring by integrating large amounts of diverse, structured and unstructured data at high speed

Finally, Big Data Analytics is not about adopting a technological solution. It’s about taking advantage of the tools that allow government to operate more efficiently by making informed decisions and, where necessary, in real time.

About the Author

big data

Dr. Gopala Krishna Behara is a Distinguished Fellow and Principal Enterprise Architect at Wipro Technologies with over 25 years of in-depth experience in the ICT industry. He serves as an advisory architect, mentor on enterprise architecture, application modernization, and continues to work as a subject matter expert and author. He is certified in Open Group TOGAF, AWS Solution Architect -Associate, IBM Cloud Solutions and UNPAN. Has published a number of research papers, books in the computer industry. He has been a speaker at national and international forums and bodies such as The Open Group, National e-Governance Forum. He has been a moderator and panel member for several technical/business forums such as IGI Global, AEA, Open Group and Premium College meetups. Recipient of the EA Hall of Fame International Award – Award for Individual Leadership in the Practice, Promotion and Professionalization of EA. He can be contacted at: [email protected]

Public profile: https://www.linkedin.com/in/gopalbehara/

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Analytics Insight is an influential platform dedicated to ideas, trends and opinions from the world of data-driven technologies. It monitors the developments, recognition and achievements of artificial intelligence, big data and analytics companies across the globe.

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