技术
- 分析与建模 - 实时分析
- 网络安全和隐私 - 安全合规
适用行业
- 金融与保险
- 零售
适用功能
- 人力资源
- 质量保证
用例
- 人员跟踪与监控
- 实时定位系统 (RTLS)
服务
- 系统集成
关于客户
该客户是一家提供全方位财富管理、零售银行和商业银行服务的全球银行。它在60多个国家开展业务,拥有超过20万名员工,管理着约3万亿美元的资产。该银行的商业银行服务使其跻身全球十大投资银行之列。它为个人和机构客户提供买方和卖方服务。其交易业务涉及股票、信贷、利率、货币、商品及其衍生品。
挑战
该客户是一家在 60 多个国家/地区开展业务的全球银行,其用于管理交易执行的订单管理系统 (OMS) 面临着挑战。 OMS 提供了交易工作流程的一些可见性,但它缺乏显示汇总信息或在当前活动和历史交易数据之间进行实时比较的能力。它也不支持过滤,这对于交易者回答新产品供应对特定市场业务的影响等问题至关重要。 OMS 将多日未结订单和数据完成订单维持数周,以允许重新预订,但它没有存储和显示大量历史数据,而这些历史数据使交易者能够分析交易活动中的趋势和现货模式。
解决方案
在从其他主要金融服务公司的同事那里了解到实时流分析工具 Altair Panopticon 的功能后,该银行决定将其纳入其交易基础设施中。实施了概念验证 (PoC),涉及该银行的几位高级 IT 领导以及一组高级交易员和风险官员。该银行之前实施了 Kx kdb+,这是一种用于处理时间序列数据的专用内存列式数据库。该银行认识到 Panopticon 支持与基于 kdb 的数据仓库的出色集成,因此利用这一功能在 30 天内从成功的 PoC 过渡到全面实施。
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