Overview
JN Data needed to scale infrastructure and application delivery while maintaining stability and compliance for financial sector clients. emagine established a strategic sourcing and nearshore partnership providing scalable expertise, strong governance and improved operational transparency.
The Challenge
JN Data is a Danish IT services provider delivering infrastructure, operations and security services to some of the Nordic region’s leading financial institutions.
The organisation operates complex technology environments supporting critical banking and financial services platforms. These environments span multiple domains, including mainframe systems, network infrastructure, cloud platforms and application services.
Ensuring stable operations across this landscape requires both strong governance and access to specialised technical expertise.
As demand for financial services technology continued to grow, JN Data needed to enhance the way it sourced and coordinated technical resources across its delivery organisation.
The company aimed to simplify resource allocation across infrastructure, operations and application teams. With multiple technology domains operating simultaneously, ensuring the right expertise was available at the right time had become increasingly complex.
At the same time, JN Data wanted to improve transparency across its sourcing and delivery model.
Clear visibility into resource utilisation, costs and performance metrics was essential for maintaining operational efficiency and ensuring that delivery activities aligned with both internal objectives and customer expectations.
Another critical factor was regulatory compliance.
Operating within the financial sector means adhering to strict security, stability and governance requirements. Any changes to delivery models or sourcing structures needed to maintain the highest standards of operational reliability and compliance.
Finally, JN Data required a model capable of supporting both stability and scalability. The organisation needed the flexibility to scale technical resources up or down as projects evolved while maintaining consistent service quality.
In short, the challenge was to create a sourcing and delivery structure that combined transparency, governance and scalability across a highly complex and regulated technology landscape.
The Solution
To support JN Data’s evolving delivery model, emagine established a strategic sourcing and nearshore partnership covering infrastructure, operations and application services.
Phase 1: Structuring a scalable sourcing model
emagine designed a sourcing model capable of supporting JN Data’s complex technology environment across infrastructure and application domains.
Specialists were deployed across network infrastructure, server platforms, cloud services, mainframe environments and application development, ensuring full coverage across the technology stack.
This created a flexible foundation for delivering services across JN Data’s financial sector clients.
Phase 2: Establishing governance across all levels
A structured governance model was introduced to ensure consistent delivery and clear coordination across teams.
Dedicated service management and line coordination roles supported communication across domains, while governance frameworks were embedded at operational, tactical and strategic levels.
This layered approach enabled both day-to-day control and long-term planning between JN Data and emagine leadership teams.
Phase 3: Enabling transparency and operational control
The sourcing model was designed to provide full visibility into delivery performance, resource utilisation and cost structures.
Through structured reporting and coordination, JN Data gained real-time insight into operations across infrastructure and application services.
This transparency supported more informed decision-making and improved control over resource allocation and priorities.
Phase 4: Scaling stable nearshore delivery
The nearshore delivery model provided the ability to scale resources while maintaining continuity and service stability.
By combining experienced specialists with structured service management, the partnership ensured consistent delivery while adapting to changing project demands.
This created a stable, scalable delivery capability aligned with JN Data’s long-term operational needs.
Transformation timeline
Phase 1
Structuring a scalable sourcing model
Phase 2
Establishing governance across all levels
Phase 3
Enabling transparency and operational control
Phase 4
Scaling stable nearshore delivery
The Results
The strategic sourcing partnership strengthened JN Data’s ability to deliver infrastructure and application services across the Nordic financial sector.
Improved operational efficiency
Streamlined governance structures and better resource coordination reduced management overhead and improved the flow of delivery activities. This enabled more efficient execution across infrastructure and application services.
Scalable access to specialised expertise
More than 215 specialists were deployed across infrastructure, operations and application domains. This flexible sourcing model allows JN Data to scale technical capacity in line with project demands and operational peaks.
Greater transparency and control
Structured reporting and governance mechanisms provide clear visibility into costs, utilisation and delivery performance. This enables stronger operational oversight and more informed decision-making.
High stability and long-term partnership value
The nearshore model maintains an attrition rate below 5%, preserving knowledge and ensuring continuity across critical systems. Over time, the collaboration has evolved into a strategic partnership aligned with JN Data’s governance frameworks, supporting long-term scalability, stability and compliance.