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

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

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

Tableau

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Predictive Maintenance Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	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.
Impact #2	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.
Impact #3	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.

Impact #1

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.

Impact #2

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.

Impact #3

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.

Benefit #1	The firm is currently accurate about 80-85% of the time when determining when to enter or exit positions.
Benefit #2	The insights from how a trade could have been implemented better can yield a 100-fold thousand time improvement in cost.
Benefit #3	The impact of Tableau on the firm is in the seven figures.

Benefit #1

The firm is currently accurate about 80-85% of the time when determining when to enter or exit positions.

Benefit #2

The insights from how a trade could have been implemented better can yield a 100-fold thousand time improvement in cost.

Benefit #3

The impact of Tableau on the firm is in the seven figures.

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Overview

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

Operational Impact

Quantitative Benefit