Case Study

Case Study

Energy Trading Operations

Company

Confidential (Global Energy Company)

Company

Confidential (Global Energy Company)

Company

Confidential (Global Energy Company)

Services

End-to-End Software Development · Legacy System Modernization · Real-Time Trading Dashboard Development · Data Automation & Reporting Engine · Risk & Portfolio Management System

Services

End-to-End Software Development · Legacy System Modernization · Real-Time Trading Dashboard Development · Data Automation & Reporting Engine · Risk & Portfolio Management System

Services

End-to-End Software Development · Legacy System Modernization · Real-Time Trading Dashboard Development · Data Automation & Reporting Engine · Risk & Portfolio Management System

Industry

Energy

Industry

Energy

Industry

Energy

Year

2025

Year

2025

Year

2025

a nuclear power plant emitting smoke into the sky
a nuclear power plant emitting smoke into the sky
a nuclear power plant emitting smoke into the sky

A leading energy trading company operating across multiple international markets needed to upgrade its digital infrastructure.

a man in a blue suit
a man in a blue suit

The Data Duck

Partner at The Data Duck

“Partnering with The Data Duck and their extended engineering team transformed the way our trading desks operate. The new systems are faster, more reliable, and perfectly aligned with our workflows. Their understanding of both technology and the nuances of energy trading was exceptional. We now treat them as an integral part of our technology organization.”

Overview

A global energy trading firm was operating on outdated systems that could no longer keep up with the speed and complexity of modern power markets. Their trading desks relied on fragmented tools spread across Excel sheets, legacy dashboards, and siloed reporting systems. While the company had strong trading expertise and a massive flow of market data, they lacked the digital infrastructure to turn it into real-time insight and operational efficiency.

The Data Duck, acting as their primary technology partner, brought us in as a specialized development team — a double-outsourced model — to rebuild their ecosystem from the ground up. The goal was simple: modernize their trading operations, eliminate manual processes, and create a real-time, scalable digital backbone for decision-making.

The Challenges

Transforming a high-stakes trading environment required solving deep and systemic issues:

  • Legacy tools slowing down execution: Traders relied on outdated dashboards that couldn’t support real-time market volatility.

  • Heavy reliance on Excel: Critical exposure, risk, and P&L calculations were still done manually.

  • Data silos across teams: Trading, research, settlement, and compliance used different systems with no unified view.

  • No automation infrastructure: Reports, alerts, and audit logs were generated manually, risking delays and errors.

Despite having a talented internal team and rich data sources, the company needed a modern product foundation to bring everything together.

Our Approach

Our Approach
🧭 Phase 1: Systems Audit & Architecture Assessment

We analyzed legacy dashboards, backend APIs, role workflows, and trading pipelines to understand gaps in reliability, performance, and scalability. This helped define a clear modernization blueprint.

🧠 Phase 2: Stakeholder Alignment & Workflow Mapping

We worked closely with traders, analysts, settlement teams, and leadership to map real-world workflows — ensuring the new platform reflected how decisions were actually made on the trading floor.

📊 Phase 3: Platform Modernization & Feature Development

  • We rebuilt core trading tools into a suite of high-performance systems, including:

  • Real-time trading dashboard

  • Risk & portfolio management engine

  • Automated reporting and notification systems

  • Role-based access management

  • Centralized data and analytics layer

Everything was designed for low-latency interaction and high uptime.

🏗️ Phase 4: Infrastructure, Governance & Long-Term Ownership

We established stable CI/CD pipelines, scalable backend architecture, and a governance model that ensured clean deployments, secure permission controls, and transparent versioning — enabling the client to evolve without friction.

Overview

A global energy trading firm was operating on outdated systems that could no longer keep up with the speed and complexity of modern power markets. Their trading desks relied on fragmented tools spread across Excel sheets, legacy dashboards, and siloed reporting systems. While the company had strong trading expertise and a massive flow of market data, they lacked the digital infrastructure to turn it into real-time insight and operational efficiency.

The Data Duck, acting as their primary technology partner, brought us in as a specialized development team — a double-outsourced model — to rebuild their ecosystem from the ground up. The goal was simple: modernize their trading operations, eliminate manual processes, and create a real-time, scalable digital backbone for decision-making.

The Challenges

Transforming a high-stakes trading environment required solving deep and systemic issues:

  • Legacy tools slowing down execution: Traders relied on outdated dashboards that couldn’t support real-time market volatility.

  • Heavy reliance on Excel: Critical exposure, risk, and P&L calculations were still done manually.

  • Data silos across teams: Trading, research, settlement, and compliance used different systems with no unified view.

  • No automation infrastructure: Reports, alerts, and audit logs were generated manually, risking delays and errors.

Despite having a talented internal team and rich data sources, the company needed a modern product foundation to bring everything together.

Our Approach

Our Approach
🧭 Phase 1: Systems Audit & Architecture Assessment

We analyzed legacy dashboards, backend APIs, role workflows, and trading pipelines to understand gaps in reliability, performance, and scalability. This helped define a clear modernization blueprint.

🧠 Phase 2: Stakeholder Alignment & Workflow Mapping

We worked closely with traders, analysts, settlement teams, and leadership to map real-world workflows — ensuring the new platform reflected how decisions were actually made on the trading floor.

📊 Phase 3: Platform Modernization & Feature Development

  • We rebuilt core trading tools into a suite of high-performance systems, including:

  • Real-time trading dashboard

  • Risk & portfolio management engine

  • Automated reporting and notification systems

  • Role-based access management

  • Centralized data and analytics layer

Everything was designed for low-latency interaction and high uptime.

🏗️ Phase 4: Infrastructure, Governance & Long-Term Ownership

We established stable CI/CD pipelines, scalable backend architecture, and a governance model that ensured clean deployments, secure permission controls, and transparent versioning — enabling the client to evolve without friction.

Overview

A global energy trading firm was operating on outdated systems that could no longer keep up with the speed and complexity of modern power markets. Their trading desks relied on fragmented tools spread across Excel sheets, legacy dashboards, and siloed reporting systems. While the company had strong trading expertise and a massive flow of market data, they lacked the digital infrastructure to turn it into real-time insight and operational efficiency.

The Data Duck, acting as their primary technology partner, brought us in as a specialized development team — a double-outsourced model — to rebuild their ecosystem from the ground up. The goal was simple: modernize their trading operations, eliminate manual processes, and create a real-time, scalable digital backbone for decision-making.

The Challenges

Transforming a high-stakes trading environment required solving deep and systemic issues:

  • Legacy tools slowing down execution: Traders relied on outdated dashboards that couldn’t support real-time market volatility.

  • Heavy reliance on Excel: Critical exposure, risk, and P&L calculations were still done manually.

  • Data silos across teams: Trading, research, settlement, and compliance used different systems with no unified view.

  • No automation infrastructure: Reports, alerts, and audit logs were generated manually, risking delays and errors.

Despite having a talented internal team and rich data sources, the company needed a modern product foundation to bring everything together.

Our Approach

Our Approach
🧭 Phase 1: Systems Audit & Architecture Assessment

We analyzed legacy dashboards, backend APIs, role workflows, and trading pipelines to understand gaps in reliability, performance, and scalability. This helped define a clear modernization blueprint.

🧠 Phase 2: Stakeholder Alignment & Workflow Mapping

We worked closely with traders, analysts, settlement teams, and leadership to map real-world workflows — ensuring the new platform reflected how decisions were actually made on the trading floor.

📊 Phase 3: Platform Modernization & Feature Development

  • We rebuilt core trading tools into a suite of high-performance systems, including:

  • Real-time trading dashboard

  • Risk & portfolio management engine

  • Automated reporting and notification systems

  • Role-based access management

  • Centralized data and analytics layer

Everything was designed for low-latency interaction and high uptime.

🏗️ Phase 4: Infrastructure, Governance & Long-Term Ownership

We established stable CI/CD pipelines, scalable backend architecture, and a governance model that ensured clean deployments, secure permission controls, and transparent versioning — enabling the client to evolve without friction.

two men standing on red flower in front of gray metal wall
two men standing on red flower in front of gray metal wall
a boy in a white shirt and white pants
a boy in a white shirt and white pants
a man with long hair standing in a field
a man with long hair standing in a field
a person in a suit
a person in a suit

The Results

The transformation redefined how the trading desks operated — improving speed, accuracy, and visibility across the entire organization.

The measurable impact:

  • 55% faster trade execution dashboard, enabling better decisions during market volatility.

  • 40% reduction in operational overhead after eliminating manual Excel-driven processes.

  • 99.9% uptime after re-architecting critical parts of the system.

  • Unified reporting layer that automated daily, weekly, and regulatory outputs.

  • Role-based workflows implemented across trading, research, settlement, and compliance.

  • A scalable platform foundation that supports multi-region users and future product expansions.

Leadership went from dealing with slow, disconnected tools to having a modern, reliable digital ecosystem powering every trade. The company now operates with greater confidence, speed, and transparency — backed by enterprise-level engineering delivered through a lean double-outsourced team.

The Results

The transformation redefined how the trading desks operated — improving speed, accuracy, and visibility across the entire organization.

The measurable impact:

  • 55% faster trade execution dashboard, enabling better decisions during market volatility.

  • 40% reduction in operational overhead after eliminating manual Excel-driven processes.

  • 99.9% uptime after re-architecting critical parts of the system.

  • Unified reporting layer that automated daily, weekly, and regulatory outputs.

  • Role-based workflows implemented across trading, research, settlement, and compliance.

  • A scalable platform foundation that supports multi-region users and future product expansions.

Leadership went from dealing with slow, disconnected tools to having a modern, reliable digital ecosystem powering every trade. The company now operates with greater confidence, speed, and transparency — backed by enterprise-level engineering delivered through a lean double-outsourced team.

The Results

The transformation redefined how the trading desks operated — improving speed, accuracy, and visibility across the entire organization.

The measurable impact:

  • 55% faster trade execution dashboard, enabling better decisions during market volatility.

  • 40% reduction in operational overhead after eliminating manual Excel-driven processes.

  • 99.9% uptime after re-architecting critical parts of the system.

  • Unified reporting layer that automated daily, weekly, and regulatory outputs.

  • Role-based workflows implemented across trading, research, settlement, and compliance.

  • A scalable platform foundation that supports multi-region users and future product expansions.

Leadership went from dealing with slow, disconnected tools to having a modern, reliable digital ecosystem powering every trade. The company now operates with greater confidence, speed, and transparency — backed by enterprise-level engineering delivered through a lean double-outsourced team.

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