Meet NTT Data Romania

NTT DATA Romania is a prominent provider of IT services and digital transformation solutions headquartered in Cluj-Napoca, Romania, and part of the global NTT DATA Group, a major international technology and consulting organisation based in Tokyo, Japan. Established in 2000, the company has developed into one of the key technology players in the Romanian market, building a strong reputation for delivering complex software engineering, systems integration, and consulting services to both local and international clients. With a large team of highly skilled professionals distributed across multiple delivery centers, NTT DATA Romania supports organisations in a wide range of industries, including automotive, manufacturing, banking and financial services, energy and utilities, public sector, retail, and transportation. 

The company provides a comprehensive portfolio of services spanning custom software development, application management, IT and business consulting, cloud and infrastructure solutions, cybersecurity, as well as data, analytics, and artificial intelligence capabilities. Through its nearshore delivery model, NTT DATA Romania plays a strategic role within the broader NTT DATA ecosystem, enabling European and global clients to access high-quality technology expertise, scalable delivery capacity, and cost-efficient digital solutions. By combining deep technical know-how with industry-specific knowledge and the innovation resources of the global NTT DATA Group, the company helps clients modernise their systems, optimise operations, and accelerate digital transformation initiatives. 

Can you provide an overview of your role and involvement in the DELPHI project? 

Within the DELPHI project, NTT DATA Romania is actively involved in the design and implementation of dataspace-related technical components supporting secure and controlled data sharing. Our work focused on developing and configuring dataspace connectors that enable data providers and consumers to exchange information while preserving data ownership and access control principles. 

We contributed to the integration and configuration of the Transfer Manager, which played a central role in orchestrating data transfers between participating systems. This included defining and validating data flows, ensuring compatibility between connectors, and supporting the execution of transfers in accordance with the agreed technical architecture. 

In addition, we supported the data ingestion and analytics pipeline by working with scalable storage and processing components such as ClickHouse. These components were used to manage and analyse high-volume mobility and transport-related data within the pilot environment. A significant part of this work was carried out in the context of the Cluj-Napoca pilot, where the DELPHI concepts were validated using real datasets and operational scenarios.

What are some challenges you encounter as part of your work with the DELPHI project? 

One of the main challenges encountered during the project was the integration of heterogeneous data sources originating from multiple stakeholders. These sources differed in structure, quality, update frequency, and ownership constraints, requiring careful alignment at both technical and operational levels. 

Another important challenge was ensuring interoperability across partners while relying on evolving open-source dataspace technologies. Identifying solutions that were both up to date and sufficiently stable for pilot deployment required continuous evaluation, testing, and adaptation. In some cases, additional configuration or customization was necessary to ensure functional and reliable integration. 

Maintaining security, trust, and governance in a distributed dataspace environment also require careful balancing. The challenge was to enforce access control and usage constraints without introducing unnecessary complexity or limiting the practical usability of the system. 

What is your future perspective in relation to the DELPHI topic? 

From our perspective, dataspace architectures represent an important step toward more scalable and trustworthy data-sharing ecosystems. The DELPHI project demonstrates how data can be shared across organizational boundaries without requiring central ownership, which is particularly relevant for mobility, smart city, and sustainability use cases. 

As open-source dataspace components, transfer orchestration tools, and governance frameworks continue to mature, we expect these approaches to become increasingly applicable beyond research projects. In the future, dataspace-based solutions can support data-driven decision-making at city and regional levels, enabling better coordination between public authorities, service providers, and other stakeholders. 

Anything else you would like to mention or highlight? 

An important outcome of the DELPHI project was the effective collaboration between international partners with diverse roles, including municipalities, research organizations, and technology providers. This collaboration helped ensure that the developed solutions addressed both technical feasibility and practical applicability. 

Deploying dataspace connectors, transfer orchestration, and analytics components in a real pilot context provided valuable operational insights. The experience gained through this process establishes a strong foundation for future research initiatives and for the potential transfer of DELPHI results into production-oriented or commercial solutions.