Building a Telecom Order Management System: A Data Engineering Perspective

Telecom companies face increasing pressure to deliver services with speed, accuracy, and agility. At the heart of this demand lies the Order Management System (OMS), a critical platform that handles the end-to-end processing of service orders. From a data engineering standpoint, an OMS is a complex ecosystem involving high-volume data pipelines, real-time orchestration [2][9], and seamless integration across customer-facing and back-end systems. This paper explores the lifecycle, challenges, architectural decisions, and implementation strategies involved in designing a modern telecom OMS. It includes a real-world case study illustrating a data engineering approach to streamlining order flows, improving traceability, and ensuring operational reliability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-27
DOI
https://doi.org/10.5281/zenodo.16963387
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building a Telecom Order Management System: A Data Engineering Perspective

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Building a Telecom Order Management System: A Data Engineering Perspective

article en

Abstract

Telecom companies face increasing pressure to deliver services with speed, accuracy, and agility. At the heart of this demand lies the Order Management System (OMS), a critical platform that handles the end-to-end processing of service orders. From a data engineering standpoint, an OMS is a complex ecosystem involving high-volume data pipelines, real-time orchestration [2][9], and seamless integration across customer-facing and back-end systems. This paper explores the lifecycle, challenges, architectural decisions, and implementation strategies involved in designing a modern telecom OMS. It includes a real-world case study illustrating a data engineering approach to streamlining order flows, improving traceability, and ensuring operational reliability.

Zenodo (CERN European Organization for Nuclear Research)
Responsible consumption and production
Openalex Percentile: Top 61%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.