The Digidhan Dashboard is launched to help the government in monitoring the total digital transactions across various modes on a single platform and to promote digital payments and digital infrastructure for the development of a cashless economy. The Digidhan Dashboard is the only dashboard that provides a consolidated view of 16 digital payment modes such as Unified Payment Interface (UPI), Immediate Payment Service (IMPS), Debit Card, Credit Card, etc. from RBI, National Payment Corporation of India (NPCI) and 110 banks, 100 Smart Cities, State, and Ministries. Digidhan Dashboard serves many government organizations including • Prime Minister’s Office (PMO) • MeitY • Reserve Bank of India (RBI) • National Payments Corporation of India (NPCI) • 110 banks (public sector banks, private sector banks, payments banks, regional rural banks, and foreign banks) • Ministries such as Ministry of Railways, Ministry of Civil Aviation, Ministry of Road and Transport, Ministry of Petroleum and Natural Gas, Ministry of Power, Ministry of Housing and Urban Affairs (MoHUA) • Departments such as Department of Posts, Department of Telecom, Department of Power, Department of Financial Services • Smart City Corporations Features of the Product The Digidhan Dashboard has the following key features: • Monitors digital payment transactions across 16 payment modes • Evaluates performance of banks based on KPIs and identify the performance of the top and bottom performing banks • Provides State-wise distribution of digital payments transactions on a per capita basis • Generates Business Intelligence driven data analysis such as: • Digital Payment Transactions Analysis for different Banks • Digital Payment Transactions Analysis for different Ministries • Transaction and Decline Analysis for BHIM • Aadhaar and Mobile Seeding Analysis • Bharat Bill Payment System (BBPS) Transaction Analysis • Closed-loop Transaction Analysis • POS Deployment Analysis and POS Correlation Analysis • Evaluate the performance of banks through Composite Scorecard • Track POS & BHIM Aadhaar deployed • Track Mobile/ Aadhaar seedings to the bank account • Generates bank-specific reports corresponding to other payment modes specific to the bank • Consolidates Digital Payment transactions data from city corporations/ ministries of 100 SmartCities and generate performance comparison reports • Separate associated Dashboards for Smart City, State, and Ministry Digidhan Mitra Chatbot The chatbot is launched to proactively handle user queries in real-time and help in faster processing of user queries, leading to saving of the resource time. The Chatbot supports multiple languages such as English, and Hindi and can respond to user queries through text, bar graphs, and charts, and can perform voice recognition in English and Hindi. Technologies Used The Technology Stack used for Digidhan Dashboard is as follows: • Power BI • C# programming language • Microsoft .NET Framework 4.5 • SQL Server 2012 • 8 no. of Virtual Machines (VMs): • Processor: AMD Opteron (TM) Processor 6272 with 2.10 GHz (8 processor) • RAM: 32.0 GB • System Type: 64-bit OS Benefits • Digidhan Dashboard consolidates the data for 16 digital payment modes from 110 banks (public sector banks, private sector banks, payments banks, regional rural banks, and foreign banks), RBI, NPCI, City Corporations of 100 Smart Cities, States and Ministries. • Digidhan Dashboard reports POS Deployment Statistics as well as Aadhaar & Mobile Seeding Accounts Statistics • The Dashboard displays BI Analysis Reports to the various stakeholders for analysis of Digital Payment Transactions for various modes Way Forward In the future, Digidhan & associated Dashboards will keep evolving through the incorporation of the latest technologies and features such as: • Predictive Analytics: Predict payment modes through which maximum transactions will be generated next year • Machine Learning: Improve Chatbot for enhancing user support, refine search results and transaction file processing • Integration with NIC Bharat Maps Application: Enable further drill down into district and smaller level regions with data visualization