Case Study

Innovative Finance Automation Empowered by Alteryx

Our client, a globally recognized financial data and information provider, sought to address critical challenges in their financial processes. With operations spanning the globe and a commitment to delivering accurate and timely data to the financial industry, our client’s need for efficient and data-driven solutions was paramount. While we maintain confidentiality by not explicitly naming our client, this case study showcases our partnership with a leading financial data provider, underscoring our ability to deliver innovative solutions tailored to the unique demands of the financial sector.

In a notably challenging project, the initial hurdles were two-fold:

  • Data Intensity: The client faced a data challenge, struggling to analyze a voluminous dataset that was too memory-intensive for conventional Excel-based analysis.
  • Exploratory Analysis: Additionally, the need arose to conduct an exploratory analysis of Profit & Loss (P&L) drivers for their trading products.

The first attempt focused on identifying price and quantity as the primary P&L drivers. While this approach held true for a subset of the product population, it fell short of providing a comprehensive analysis. Back testing revealed inaccuracies in the team’s calculations, indicating a need for refinement.
To address these challenges, we recognized the necessity of expanding the attribute set to include FX rates, risk, and origin of trade. This required significant data restructuring and model refinement. The project’s initial setbacks emphasized the importance of maintaining a flexible, iterative approach to data engineering and analysis.


Our solution encompassed a multi-faceted approach:

  • Alteryx Data Models: We engineered and implemented innovative Alteryx data models, leveraging its capabilities to automate and enhance critical financial processes. This significantly optimized workflows for the Chief Financial Officers across various Lines of Business (LOBs).
  • Agile Methodologies: We adopted agile methodologies, conducting process discovery and model testing to continually optimize automation processes. This approach ensured flexibility and responsiveness to evolving needs, mitigating the initial challenges faced.
  • P&L Analysis Model: We pioneered the development and automation of a sophisticated Profit & Loss (P&L) Analysis model. Leveraging advanced data analytics, this model enabled the discernment of sensitivity drivers related to trade volumes across 350+ electronically traded products. This transformation empowered the client with the ability to comprehensively analyze over 5 million trades, which was previously unattainable.
  • Automation of Complex Processes: Our automation efforts extended to complex financial processes, including the Goldman Sachs Alliance monthly reconciliation. This previously intricate 18-hour monthly task was reduced to a mere 5 minutes through automation, freeing up valuable resources. We also automated the Regulatory Reporting Volume Tracker, streamlining the categorization of over 2 million transactions by their respective regulatory body and reducing a 1-hour reporting process to less than 5 minutes.
  • Documentation: To ensure ease of use and troubleshooting, we created comprehensive documentation for the Alteryx models, aiding user adoption and enhancing the overall user experience.


The outcomes of our comprehensive solution were significant:

  • Efficiency Gains: Our automation initiatives led to substantial efficiency gains across various financial processes, dramatically reducing the time and effort required for complex tasks.
  • Data-Driven Insights: The P&L Analysis model provided data-driven insights into trade volumes and sensitivity drivers, enabling the client to make informed decisions regarding their product portfolio.
  • Resource Optimization: Through automation, we optimized resource allocation, freeing up valuable time and personnel for more strategic endeavors.

This challenging project highlighted the importance of an iterative approach to data engineering and analysis. It underscored the need to validate models through rigorous testing and consider a wide array of variables from the project’s inception. This project not only resolved the initial challenges but also left a lasting impact on our approach, instilling a meticulous and expansive perspective towards data analysis. It reinforced the importance of validation through backtesting and the need to consider a wide array of variables from the project’s onset.
Arrayo’s collaboration with this leading financial data provider demonstrates our commitment to delivering innovative and effective solutions. By leveraging Alteryx and a data-driven approach, we not only optimized critical financial processes but also empowered the client with valuable insights for better decision-making. This partnership showcases our ability to tackle complex challenges and deliver tangible results for our clients, helping them stay ahead in the competitive financial industry.