- Commodity Management & Trading
- Customer & Marketing Strategy
- Digital Engineering
- Station Studio
- Supply Chain & Industry 5.0
- Sustainability
From Volatility to Control
Bringing data together. Moving from batch to real-time. Allowing traders and risk teams to see the same numbers, at the same time.
A single and consistent view of positions, exposure and P&L across all functions, reducing discrepancies and improving alignment.
Near real-time access to critical data enables quicker reactions to market movements and operational changes.
Integrated systems and automation reduce reconciliation gaps and enhance reliability of trading and risk data.
A flexible setup that evolves over time without requiring replacement of core trading systems.
How NTT DATA helps
A single source of truth that consolidates and standardizes data across trading, risk, market, and operations, eliminating reconciliation.
Built on an event-driven, API-based architecture, it enables real-time updates, faster decision-making, and scalable integration of best-of-breed and bespoke solutions.
Deploy analytics to enhance decision-making across trading and risk teams.
These tools support intraday P&L monitoring, exposure tracking and automated alerts.
Maintain core trading systems as the backbone of operations.
They manage trade lifecycle, risk and back-office processes while integrating external data layers. It is the cornerstone that provides visibility on position and costs. The improvement sits on opportunity management and the matching of deals into strategies in the most efficient way.
Automate key processes such as reconciliation, reporting and exception management using Agents is on Production state. No further PoC’s.
This reduces manual effort and improves operational efficiency, also fixing the knowledge of the company and reducing lack of qualified staff.
Up to 20–30% reduction in time-to-decision, enabled by real-time access to positions, exposure and P&L.
15–25% reduction in reconciliation effort, driven by improved data consistency and automation across systems.
Faster and more consistent reaction to market movements, improving intraday trading discipline.
Allowing teams to handle higher trading volumes without adding complexity.
