NSE, India’s Largest Stock Exchange Leverages Qlik
NSE implements system for faster data integration for compliance monitoring
Times of India
NSE implements system for faster data integration for compliance monitoring
1 June 2022
Aiming to better compliance monitoring of listed entities, NSE, the country’s largest stock exchange, is integrating data inputs from its numerous databases including the ones related to trading, clearing & settlement, reporting by members, risk management services and the clients. Through a platform called Qlik Associative Engine, the stock exchange is now able to make associations from multiple datasets that now enables it to generate insights from all their data collectively and run comprehensive reporting for regulatory purposes. Insights from Qlik’s platform help people at NSE to quickly be alerted on risk areas so that they can make informed decisions, a joint release from Qlik, a US-based data analytics company, and NSE, said. “Qlik supports multiple teams within NSE to drive efficiencies and provide insights for facilitating data-informed decisions.” NSE generates huge amounts of data every day and is also responsible as the first point of surveillance for all the trades on its platform. In addition to taking steps against suspected wrongdoings and issues of non-compliance, it also on a continuous basis alerts markets regulator Sebi about the same. Most of these processes are data-driven.
“Data utilisation is very important for NSE. We wanted to be able to have a single view of our data and be able to analyse it very intuitively,” NSE SVP (regulatory group) Dinesh Kumar Soni said in a statement. “With Qlik, we have been able to integrate our data on a single platform, reduce the time taken for reporting and quickly identify risk areas.”
Qlik is helping NSE significantly reduce the time needed to integrate and load data. “Manual tasks have been greatly reduced and tasks that used to take 3-6 hours can now be completed within 30 minutes. This has aided the regulatory teams of NSE in driving better efficiencies by facilitating data analysis and improved decision-making capabilities,” the release said.
Updated on: 08/08/2022
