Client Overview

The client is a global, vertically integrated commodities trading organization with operations across North America, South America, Europe, and Asia-Pacific. The company trades a diversified portfolio of agricultural commodities, softs, oilseeds, biofuels, and related derivatives. With commercial, trading, risk, and finance teams operating across multiple regions, timely and reliable market data is critical to pricing accuracy, risk management, P&L reporting, and regulatory compliance.

Business Challenge

Over time, the organization’s market data environment had evolved organically, resulting in a fragmented landscape of vendors, overlapping data sets, inconsistent entitlements, and limited transparency into cost drivers. Market data spend was increasing, yet leadership lacked a clear view of actual usage, contractual constraints, and opportunities to rationalize vendors without disrupting trading operations.

Key challenges included:

• Rising market data costs with limited attribution to users, desks, or commodities

• Inconsistent data quality and coverage across regions and asset classes

• Limited transparency into vendor pricing models, entitlements, and contract terms

• The need to support both front-office trading and downstream risk and finance users

• A desire to rationalize vendors while minimizing operational disruption

The Vessel Group’s Role

The Vessel Group was engaged as an independent, vendor-neutral advisor to lead a structured market data system selection.

The engagement focused on helping leadership move beyond anecdotal perceptions of data needs and toward a fact-based understanding of actual usage, cost drivers, and future requirements. The Vessel Group partnered closely with stakeholders across trading, risk, finance, and technology to execute a disciplined selection process that included:

• Current-state assessment of market data usage across commodities and regions

• Definition of functional, commercial, and technical requirements

• Identification and evaluation of leading market data providers

• Comparative analysis of data coverage, pricing models, and contract structures

• Development of a side-by-side cost and value comparison model

• Executive-ready recommendations supported by quantitative and qualitative analysis

Outcome

The engagement provided leadership with clear visibility into its market data landscape and the underlying economic drivers across vendors and regions. The structured selection process enabled informed decision-making aligned with both commercial priorities and operational realities.

Key outcomes included:

• Selection of a market data solution aligned with the client’s commodity mix and geographic footprint

• Improved transparency into vendor pricing, entitlements, and contractual terms

• Identification of opportunities for cost optimization and vendor consolidation

• Reduced operational risk through improved data governance and standardization

The engagement positioned the organization with a scalable, cost-effective market data strategy that supports current trading needs while enabling future growth.