Traders Make Big Profits with Instant Access to Pricing Data
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- ThoughtSpot
Tech Stack
- Real-time Data Analysis
- Business Intelligence Tools
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
Services
- Data Science Services
- System Integration
About The Customer
The customer is a Fortune 500 financial services company involved in securities lending, a significant segment of the financial services market. This company manages thousands of stock transactions daily, requiring accurate pricing of securities to maximize profits. The team responsible for this task faced challenges due to data silos and outdated systems, which hindered their ability to access and analyze data efficiently. The company sought a solution that would enable them to leverage real-time data from multiple sources, improve decision-making, and enhance their competitive edge in the market. By adopting advanced analytics technology, they aimed to overcome these challenges and capitalize on new opportunities in the rapidly evolving financial services industry.
The Challenge
The lending services team at a Fortune 500 financial services company faced significant challenges in accurately pricing securities due to data silos and outdated systems. They managed thousands of stock transactions daily, requiring precise price estimates for each transaction. Traditionally, this involved mining through thousands of stock loan transactions and data from other institutions, which was time-consuming and inefficient. The team had access to real-time data from 18 different sources, but each source was accessed separately through proprietary applications, creating a bottleneck. With only one data analyst using a legacy BI tool, the process was slow and inflexible, limiting the traders' ability to make informed decisions and costing them revenue opportunities.
The Solution
The financial services company implemented ThoughtSpot to address their data analysis challenges. ThoughtSpot provided a user-friendly platform that allowed traders to access and analyze data from all 18 sources in real time. This enabled them to search and analyze open transactions in the lending market, providing different price estimates and historical data for on-the-fly securities pricing. The platform also allowed the VP of Securities to compare loan performance and identify high-potential securities, focusing the traders' efforts on the most impactful activities. By removing the bottleneck created by the legacy BI tool, ThoughtSpot empowered the team to make faster, more informed decisions, enhancing their competitive advantage. The IT team could now concentrate on data governance and security, rather than building simple reports, further optimizing the company's operations.
Operational Impact
Quantitative Benefit
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