Qlik > 实例探究 > Setting a benchmark for security industry

Setting a benchmark for security industry

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公司规模
Large Corporate
地区
  • Asia
国家
  • China
产品
  • Qlik Replicate
技术栈
  • Apache Kafka
  • Spark Big Data platform
  • Redis in-memory database
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 分析与建模 - 实时分析
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 金融与保险
适用功能
  • 商业运营
用例
  • 质量预测分析
  • 实时定位系统 (RTLS)
服务
  • 数据科学服务
  • 系统集成
关于客户
CSC Financial Co., Ltd (China Securities) is a major national securities company providing high-quality financial services to government, corporate, institutional and individual investors. Having earned an excellent reputation, it was awarded the highest Class AAA rating by the China Securities Regulatory Commission and has retained that rating for 12 years. The company needed to copy data from many sources and unify it to present clients with a clear visualization.
挑战
CSC Financial Co., Ltd (China Securities) needed to better understand asset movements in real-time to maximize investment strategies. It also wanted to provide its clients with a real-time display that would clearly show the status of their portfolio from the China Securities application and other investment channels. The company had to deal with large data volumes and many databases which required up to 18 replication tasks. Frequent system upgrades also meant that replication environments had to be constantly rebuilt and replicating from heterogeneous databases was a cumbersome operation.
解决方案
To solve its problems, the company formed a cooperative venture with Qlik and Shanghai DingKui Information Technology (DingKui) using Qlik Replicate’s real-time data synchronization solution. The resulting solution combines the advantages of Qlik Replicate with DingKui’s industry knowledge. It allows China Securities to collate the data rapidly and automatically from multiple systems such as gold, OTC trading, stock options and margin trading. The data is replicated to Apache Kafka stream processing platform and then aggregated on a Spark Big Data platform. The unified analysis is carried out through a Redis in-memory database and data is available for real-time client asset analysis.
运营影响
  • Provides a unified task operation and monitoring interface which allows staff to see immediately whether or not a task has been successfully built
  • Automates configuration and use processes to achieve zero manual input, increasing efficiency and reducing errors
数量效益
  • Increase the speed at which we can display real-time client asset data to the sub-second level

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