DATAMITE HORIZON EUROPE
Published January 22, 2026 | Version v1
Book chapter Open

Ensuring Data Quality Across Heterogeneous Systems: A Large-Scale Telecommunication Industry Case Study

Authors/Creators

  • 1. ROR icon Hellenic Telecommunications Organization (Greece)
  • 2. AiNTIGONE
  • 3. ROR icon Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC)
  • 4. ROR icon Tecnalia
  • 5. ROR icon Institute of Communication and Computer Systems

Description

Maintaining high standards of data quality in large-scale, heterogeneous environments is still a critical challenge in the telecommunication industry. This chapter describes a coherent business process to ensure data quality, tailored to complex, multi-source telecom datasets. A central role in our approach is played by the deployment of the DATAMITE Horizon Europe project’s framework, which facilitates automated profiling and data quality validation based on user-defined business rules. Furthermore, the paper details how this framework is customized and adapted to meet the specific needs of a major telecom operator, highlighting its role in improving data reliability, regulatory compliance, and operational efficiency. The findings depict the importance of combining domain-specific knowledge with flexible, interoperable data quality frameworks to manage the intricacies of heterogeneous data landscapes.

Files

Ensuring Data Quality Across Heterogeneous Systems A Large-Scale Telecommunication Industry Case Study.pdf

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Additional details

Funding

European Commission
DATA Monetization, Interoperability, Trading & Exchange Grant agreement ID: 101092989