Tableau > 实例探究 > Rosenblatt Securities: Using Tableau for Pre-Trade and Post-Trade Analysis

Rosenblatt Securities: Using Tableau for Pre-Trade and Post-Trade Analysis

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公司规模
11-200
地区
  • America
国家
  • United States
产品
  • Tableau
技术栈
  • SQL databases
  • MySQL
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Revenue Growth
技术
  • 分析与建模 - 预测分析
  • 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
  • 销售与市场营销
用例
  • 预测性维护
  • 实时定位系统 (RTLS)
服务
  • 云规划/设计/实施服务
  • 数据科学服务
关于客户
Rosenblatt Securities is a New York-based firm that has been operating for three decades. The firm's primary goal is to help institutional investors prosper by providing them with trusted, conflict-free advice and expert trade execution services. Rosenblatt frequently ranks as a top-20 broker by volume and consistently lands in the top tier of leading independent and client ratings of broker execution quality. The firm is run by a team of partners, including Scott Burrill, who also manages IT. Rosenblatt Securities deals with a lot of data, both structured and unstructured, and uses this data to provide value to its clients and its organization.
挑战
Rosenblatt Securities, a New York-based firm that provides institutional investors with advice and trade execution services, was looking for a way to improve its pre-trade and post-trade analysis. The firm wanted to be able to perform derived analytics on hundreds of different fields and visualize the data quickly and simply. They wanted to provide their traders and clients with insights on when to buy or sell a security. The firm was also looking for a tool that could handle large amounts of structured and unstructured data, including time series data.
解决方案
Rosenblatt Securities chose to use Tableau to analyze market data. The firm found that Tableau was able to handle large amounts of data and perform derived analytics on hundreds of different fields. The data could then be visualized quickly and simply, providing insights that could be acted upon. The firm uses Tableau to calculate predictive analytics on 800 securities to determine when to enter or exit positions. The firm also uses Tableau Server internally and externally with a few stakeholders. The implementation of Tableau started with a trial download on a computer and has since been deployed across the organization.
运营影响
  • Tableau has had a significant impact on Rosenblatt Securities. The firm has been able to tell stories quickly, consume a lot of data, and look at it across multiple dimensions.
  • The firm has been able to export some of its insights to its clients and make serious money off of it, whether it be from a consulting project or through ongoing decision-making tools.
  • Tableau has given Rosenblatt Securities a new business model. The firm is able to bring products to market much quicker than it would have without a team of analysts.
数量效益
  • The firm is currently accurate about 80-85% of the time when determining when to enter or exit positions.
  • The insights from how a trade could have been implemented better can yield a 100-fold thousand time improvement in cost.
  • The impact of Tableau on the firm is in the seven figures.

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