Transforming CX with embedded real-time analytics

During the black Friday in 2024, Stripe processed more than 31 billion US dollars of transactions, with the processing rates reaching a highlight in the history of the company at 137,000 transactions per minute. The financial service company had to analyze every transaction in real time in order to prevent almost 21 million fraud attempts, which could have deviated from its dealer customers more than $ 910 million. However, the protection of fraud is only one reason why stripe has accepted real-time data analyzes. The evaluation of the trends in massive data flows is of essential importance for the services of the company, for example the enabling of companies, based on the use and monitoring of orders and stocks. In fact, many of the services of stripe without real -time analyzes would not be possible, says Avinash Bhat, head of the data infrastructure at Stripe. "We have certain products that require real -time analyzes, such as usage -based billing and fraud detection," he says. "Without our real -time analyzes, we would not have some of our products and that's why it is very important." Do not load the reporting strip alone. In today's digital world, data analysis is increasingly delivered directly to business customers and individual users, so that the real-time knowledge in real time and continuous knowledge enables the design of user experiences. Ride hail apps calculate the prices and estimation times of the arrival (etas) in almost real time. Financial platforms offer cash flow analysis in real time. Customers expect and reward data -controlled services that reflect what is happening now. In fact, the ability to collect and analyze data in real time correlates with the growth ability of the company. According to a survey by the MIT Center for Information Systems (CISR) and Insight partner, the company's heads recorded by the company in the top quarter of real-time operations, by 50% higher sales growth and net arguments, compared to companies that were placed in the lower quartile. The top companies focused on automated processes and quick decisions at all levels and were based on easily accessible data services that were updated in real time. Companies that are waiting for data are in a bond, says Kishore Gopalakrishna, co-founder and CEO von Startree, a real-time provider of data analytics technologies. "The basis of real-time analysis is what the value of the data is very high-we want to use it instead of waiting and carrying out stacking analyzes," he says. "Sometimes it is too late to get access to the data per day or even hours." Download the report. This content was created by insights, the user -defined content of the with technology check. It was not written by the editorial staff by Technology Review. It was researched, designed and written by human writers, editors, analysts and illustrators. This includes writing surveys and the collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed a thorough review of human review.