How do you Solve the Challenges of Trade and Transaction Reporting?

Volumes are up and regulations are more complex. Financial Services firms are struggling to keep up. The industry is demanding transparency with detailed trade and transaction reports. It’s getting harder to comply with requirements and many firms have resorted to inefficient approaches – causing greater execution risk, increased operating cost, and data quality issues.

Relational databases don’t offer the transparency and agility required for trade data processing. That’s where we come in. We’ll decrease your long-term cost and regulatory risks by validating, transforming and automating the reporting process, across asset class and requirements. With the MarkLogic platform you can adapt to changing business needs, comply with regulations while improving operational efficiency.

This innovative technology integrates your data silos with minimal disruption and supports secure operations, accurate reporting, and analysis over the full data lifecycle. The result? Greater transparency and agility for your business, in real-time.

Data-Driven Transformation

Technology and the Trade Lifecycle: Where We’re Going

Discover how an optimal trade architecture improves operating agility and efficiency in Capital Markets.


Gagnez en transparence face à des réglementations changeantes

As Financial Services companies look to gain transparency and competitive edge whilst adapting to evolving regulations, data-driven transformation becomes a decisive advantage.


Classement Gartner SGBDO 2018

Challenger du Magic Quadrant 2018 de Gartner pour SGBDO

Pour la troisième année consécutive, MarkLogic a été reconnu comme challenger le mieux placé pour sa capacité d'exécution et le plus à droite pour l'exhaustivité dont l'entreprise fait preuve dans le quadrant des challengers.

Télécharger le rapport

Ce site utilise des cookies.

En continuant votre navigation sur ce site, vous acceptez l'utilisation de cookies en accord avec la Déclaration de confidentialité MarkLogic.