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Kyvos Insights > 实例探究 > CCAR & Risk Management: Risk Forecasting with Instant BI on 500 Billion Transactions
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CCAR & Risk Management: Risk Forecasting with Instant BI on 500 Billion Transactions

技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 实时分析
适用行业
  • 金融与保险
适用功能
  • 商业运营
服务
  • 数据科学服务
挑战
The investment bank arm of a global financial institution was struggling to limit its daily risk exposure across its entire business. The risk analytics team found it difficult to assess their daily trading positions across various asset classes - foreign exchange, equities, fixed income, and other special products. They were unable to see how one asset class risk affected another. The bank set out to deliver a daily single consolidated view of its risk position to drill down into individual transactions. However, they faced several challenges: With over a billion risk points a day, they were struggling to create a consolidated view of risk across their assets. It was impossible to correlate risks across asset classes to understand trends. Analysts were unable to drill down into their data to understand complex transactions. Risk analysis was always late and deficient.
关于客户
The customer is the investment bank arm of a global financial institution. The bank wanted to limit its daily risk exposure across its entire business. The risk analytics team was finding it difficult to assess their daily trading positions across various asset classes - foreign exchange, equities, fixed income, and other special products. They were unable to see how one asset class risk affected another. The bank set out to deliver a daily single consolidated view of its risk position to drill down into individual transactions.
解决方案
The bank used Kyvos, a BI acceleration platform that delivers instant insights on trillions of rows of data, both on the cloud and on-premise data lakes. The risk analytics team prepared data, created a common data schema for all asset classes, and built an OLAP-based semantic layer directly on their data lake. This enabled instant access to transaction-level data on a daily basis. Kyvos' Smart OLAP™ technology helped them quickly build an OLAP cube with 20 days of trading data. Data was added to the cube incrementally each day for analysis, and soon the OLAP cube had 160 days of data — approximately 500 billion transactions. Built-in integration with Tableau, Excel, Spotfire, and Java APIs, helped analysts work in a familiar environment. To ensure that access to the data lake had the same enterprise security that the bank required, Kyvos integrated with the company’s LDAP and Kerberos protocols.
运营影响
  • Improved risk compliance with a daily consolidated view and analysis across all asset classes, incorporating data from 500 billion transactions
  • Power to perform 160-day trend analysis, updated daily, to understand risk behavior and correlate the impact of risks across assets
  • Interactive access to individual trade data via four familiar UIs - Tableau, Excel, Spotfire, and an in-house custom application
数量效益
  • A daily consolidated view of risk across all asset classes
  • Trend analysis on 160 days of historical data versus 9 days on prior designs
  • Near-instant response times with insights in less than 5 seconds for hundreds of concurrent users

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