ShengPay creates a Big Data analysis solution with OpenText Data Analytics, which provides the platform for unearthing vital business intelligence
With the number of internet financial users rapidly increasing and the continuous innovation of internet financial applications, there has been explosive growth in the amount of business data ShengPay must deal with. While this growth tests the capacity of ShengPay’s IT systems, it also provides a rare opportunity for the company to use this data to further innovate its financial business. Using Big Data, ShengPay wanted to unearth user demands from massive amounts of business information. This would enable it to improve customer sales and increase risk management and operational strategy, which in turn would help to strengthen its core competitiveness.
To achieve this, ShengPay decided to deploy a Big Data analysis platform to enhance the competitiveness of its financial business.
Results
Over ten-fold increase in analysis speed
Following the deployment of Vertica, ShengPay built an efficient Big Data analysis platform. Vertica uses balanced memory and disk distributed compressed columnar architecture with clustered Big Data storage. Compared to traditional technology, there is exponential growth in the speed data can be analyzed, which significantly enhances the inquiry capability of the system. Operational data shows that once all the historical data is moved to Vertica, ShengPay can directly summarize this data from many years, with the inquiry speed reduced from two hours to just seconds or minutes; enhancing efficiency more than ten-fold.
