Build Reference Data Magic

Build a comprehensive, structured security master to ensure data accuracy, consistency, and interoperability across desks, systems, and business units.

Track ownership, exposures, and valuations with precision. Use structured data models to support better risk analytics, compliance, and reporting.

Manage orders, transactions, and positions with a unified model—from execution to settlement. Ensure auditability, reduce errors, and streamline reconciliation.

Support evolving regulations like MiFID II, SFTR, and Basel III with complete, traceable data models that improve reporting accuracy and reduce operational risk.

Digitize position management, corporate actions, and settlement processes. Reduce manual interventions and enable straight-through processing across teams and business units.

Exchange clean, consistent instrument reference data in any required format—from a single structured source—minimizing reconciliation and integration effort.

Establish a centralized reference data hub to serve as a single source of truth for the entire value chain. Enable efficient data submission from issuers, seamless distribution to stakeholders, and monetization through high-quality data services.

Accept listing requests in a standardized digital format, validate automatically, and fast-track trading admission. Publish issuer disclosures in real-time, automatically triggered by updates to structured instrument data.

Enable CSDs to automate book-entry creation and processing with structured issuance data. Reduce manual effort, minimize operational risk, and ensure real-time settlement readiness in a resilient post-trade environment.

Use standardized term sheet data to automate validation, processing and disclosure of corporate actions and other lifecycle events—eliminating manual email workflows and ensure market transparency.

Auto-validate and process payment instructions from structured term sheet data. Generate payment instructions, SWIFT messages and other settlement outputs automatically, reducing cost and complexity for paying agents.

Leverage rich reference data to offer regulatory reports, tax documentation, and compliance tools to issuers—simplifying obligations and lowering regulatory risk and operational burdens across the ecosystem.

Leverage hybrid data models to structure both traditional and digital assets. Enable tokenization services, on-chain settlement, and smart contract-based financial instruments.

Unify fragmented sources into one structured model. Classify, enrich, and distribute reference data with greater consistency—improving quality, reducing reconciliation, and powering downstream systems with ease.

Enhance your offerings with deeply structured content that supports advanced analytics, valuation models, benchmarks, and decision-support tools—giving your clients more depth, clarity, and insight.

Provide clients with comprehensive, structured data aligned to MiFID II, PRIIPs, SFDR, and other evolving financial regulations. Simplify regulatory workflows, reduce compliance risk, and strengthen client trust.

Package and deliver data as-a-service (DaaS)—from granular instrument-level details to thematic, regulatory, valuation or risk-linked datasets. Tailor output to client needs, formats, and workflows.

Distribute global, standardized corporate action and high-volume event data built for automation—enabling clients to manage cashflow events, mitigate risk, and respond to time-critical actions with speed and confidence.

Leverage deeply structured reference data to launch premium datasets, custom analytics, and other innovative data products. Open new distribution channels and grow your revenue streams.

Rebuild legacy infrastructure or launch new cloud-native services using structured data models for instruments, accounts, transactions, and positions. Design scalable, future-ready architectures with confidence.

Track portfolios, transactions, and performance with precision across asset classes. Use structured data models to build scalable platforms, power advanced analytics, and deliver real-time insights to your clients.

Structure tokenized and traditional assets consistently across systems. Build hybrid platforms that enable seamless interoperability between blockchain networks and conventional finance.

Use standardized, structured data models to develop tools that support regulatory reporting, compliance, and risk oversight. Help your clients ensure data accuracy, meet evolving regulations, and reduce operational risk.

Use standardized data models as flexible, ready-to-use foundations for any financial application. Accelerate development, improve data consistency, and eliminate redundant modeling work.

Use domain-driven data models as a shared language across services. Empower modular architecture, reduce integration complexity and ensure consistent interpretation and data integrity across your stack.

Build efficient APIs and data services with standardized data models—enabling faster product cycles and seamless integration with external systems and client applications.

Ensure smooth communication between disparate systems. Standardized models enable accurate data exchange, reducing complexity in multi-system environments.

Leverage flexible, pre-structured data models to build tailored applications that meet specific client needs—accelerating development, reducing time-to-market, and simplifying long-term maintenance.

Use structured data models to efficiently map, transform, and normalize financial data across diverse sources and applications—reducing integration time and ensuring consistency throughout the stack.

Use standardized data models as blueprints for robust and scalable schemas. Structure complex instruments and positions efficiently to support long-term growth, integrity, and interoperability.