.png){kind=logo}
Most of the States and governments of India are focusing on leveraging emerging technologies for delivering citizen services, enhancing the efficiency of the functioning of government, and ways to increase the government's revenue.
One of the key emerging technology that influences the government and businesses is "Big Data Analytics".
Big Data Analytics application is an integrated Business Intelligence and Data Analytics system that includes conventional and Big Data. The government-wide Analytical Engine takes in data from various government department databases, the internet, social media, sensors, machine logs, and other sources. This leads to the huge growth of transaction data volume per day in e-governance demanding for Big Data Analytics. This Analytical engine transforms them and presents them in an analyzable format.
According to Market Research, 75% of Big Data is helping government departments to improve the quality of citizens' lifestyles.
Big Data Analytics provides insights into how government schemes and policies are performing, and Why (Descriptive and Decisive Analyses). It helps in determining future scenarios and recommends the best action plan (Predictive and Prescriptive Analysis) to measure the sentiments of citizens and understand their perceptions and attitudes towards government policies.
Big Data is classified as Structured data and unstructured data. Structured data includes information such as property tax, building permissions, criminal records and motor vehicle records that are usually stored in legacy systems or data warehouses. Unstructured data includes social media, email, videos and images, and so on.
Insight: Big Data Analytics opens up the opportunity to use an unlimited amount of data, particularly data to understand citizen sentiment and improve governance. Structure data from newspapers, blogs, social media, news channels, emails, reports, satellites, images, etc. are used for analysis. The insights provided by big data analytics enable the Government to predict the future and plan appropriate interventions or make mid-course corrections in all societally important sectors like healthcare, education, welfare, and Urban/rural development and infrastructure.
Timeliness: With the use of Data Analytics Government can be PROACTIVE rather than REACTIVE. It is possible to achieve timely and agile responses to opportunities, threats, and challenges that the government faces. Today, traditional data could be used to identify these opportunities and threats, it will take time to collect, cleanse, standardize, and then analyze.
Breadth: Provides a single view of diverse data sources – People, Entities, Land, etc. By combining traditional and big data under one platform, a true 360-degree analytical view is achieved.
The following list summarizes representative categories where the Big Data Analytics systems will be used to improve Government and department processes.
Analyzing the content in electronic and social media and other sources to understand the public sentiment on the programs of the Government, conducting root-cause analysis, and suggesting appropriate interventions and mid-course corrections improve the delivery of the programs.
Predicting a disaster identifying the areas likely to be affected, and suggesting advance interventions required to mitigate the adverse impact on the population.
Analyzing the Text inputs (unstructured data) in the Grievance system and the popular print media, identifying key problem areas (Region / Type of Problem / Frequency/Severity), and suggesting suitable remedial action
Designing a Happiness Index, appropriate to the socio-economic profile of the Government agency, supporting the Government in conducting appropriate sample surveys, Analyzing the results, and making suitable recommendations for enhancement of the Index
Analyzing the medium-term impact of development and welfare schemes, identifying the gaps, and realigning the schemes for enhanced effectiveness
Analyzing the geographical spread of various schemes and making corrections for even distribution
Conduct sentiment analysis based on social media and electronic media, and provide appropriate inputs for action by the municipality
Qualitative & Quantitative analysis of potable drinking water supplied to the rural people in the habitations as per defined norms through the implementation of various water supply schemes under different programs in the government
Analysis of data helps us to develop child protection programs in the form of promoting education, better health, and reduction in crime against children. This results in a reduction in child vulnerability across states in India
Analyzing the patterns of public expenditure on top 10 sectors of the economy, identifying the correlations with the progress in achieving the relevant Sustainable Development Goals, and suggesting the desired areas and sectors for intervention
Analyzing the trends of growth of GSDP, geographically and sector-wise, identifying causal factors for high and low growth rates and suggesting the right mix of interventions required to optimize the growth rate of the economy of the Government
Analysis of trends of cropped areas and economics of various crops area wise over the last 5 years, and the demand-supply position for different agricultural produce across the country and to arrive at the optimised crop area planning for various crops in different agro-climatic regions of the Government and giving decision support to agricultural planners
Analysis of soil health records of the last 5 years, along with the crops grown during the period, soil moisture level, rainfall, irrigation control, yield, and other parameters, to arrive at a plan for maximising micro-nutrient corrections, through focused interventions
To track the number of people who migrated across the country every year by analyzing citizens' transportation data, over a period of five years.
To monitor the condition of the roads and provide advance recommendations on optimal resource utilisation for producing the best impact on taxpayers.
Identify tax evaders, leakages of taxes, and other major revenues, conduct causal analysis and provide decision support
To see the flow of goods and how the trade is carried out
Monitor the sanitary conditions, analyse w.r.t climatic and other conditions, and predict the outbreak of communicable diseases to enable the department to take corrective action
Analysis of global commodity prices and provision of advisories to farmers on the export markets to be preferred for exporting grain and horticultural products
Integrating climatic, economic, and social data along with the quality of healthcare provided, identify geographic regions that are vulnerable to Viral diseases and provide decision support to the department (real-time)
Usage of IoT for Smart City to improve the quality of the life of the Citizen
Demand-Supply Analytics and Optimization of generation and power purchase planning
Analyse the Trends of assessment and collection of property taxes in various divisions and the average collection per property, and provide suitable advisories to the divisions to improve tax collections
Analyse the trends of prices of agricultural produce (top 5 crops for the last 5 years) predict the prices over the next 6 to 12 months and advise the department on the market interventions required
In summary, Big Data Analytics provides better transparency, while efficiently delivering services to the citizens. The following are the recommendations on the usage of Big Data Analytics in the e-Governance space,
To provide insights into how government schemes and policies are performing, and Why(Descriptive and Causal Analyses)
Design of Better Schemes and Projects by being more citizen-centric and effective
To determine likely future scenarios and recommend best courses of action (Predictive and Prescriptive Analyses)
To gauge sentiments of people of the government, and understand their perceptions of and attitudes towards government policies
To provide a system of dashboards that enable administrators to monitor and implement Government programs effectively
To enhance the effectiveness of regulatory and tax collection systems of the government
Formulation of the Right Policies that factor the needs of the people
Increased Trust between Government & Citizens allows the free flow of the information
Real-time fraud monitoring by integrating large amounts of diverse, structured, and unstructured high-velocity data
Finally, Big Data Analytics is not about adopting a technology solution. It is about leveraging tools that enable Government to operate more effectively through making informed decisions and where needed in real-time.
Dr.Gopala Krishna Behara is a Distinguished Member and Lead Enterprise Architect in Wipro Technologies with 25+ years of extensive 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. Published a number of research papers, books in the IT industry. He has been a speaker at National and International forums and bodies like The Open Group, National e-Governance Forum. He has been a moderator and panel member for multiple technical/business forums like IGI Global, AEA, Open Group, and Premium College meets. Recipient of EA Hall of Fame International Award – Individual Leadership in EA Practice, Promotion and Professionalization Award. He can be reached at: gopalkrishna.behra@wipro.com.
Public profile: https://www.linkedin.com/in/gopalbehara/
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.
