Analysis of telecom service operation behavior with time series

I. Civantos () and J. García-Algarra ()
Additional contact information
I. Civantos: Telefónica I+D
J. García-Algarra: Universidad Pontificia Comillas (ICADE)

Central European Journal of Operations Research, 2020, vol. 28, issue 1, No 3, 25-34

Abstract: Abstract Operation of complex telecom services is a field that mixes technology, processes and teams. Despite the existence of detailed protocols and automation, the real behavior is hard to measure and predict. The human factor is a source of uncertainty, and this fact is of special relevance when facing stressful situations. Informal team working culture, time shifts or external stress are main sources of change. In this research we use time series analysis as a statistical proxy to detect this kind of drift in teams that solve network failures if three live services: IPTV, Cloud Infrastructure and IoT. This task known as incident management. This would provide not only a numerical evidence of the uncertainty in troubleshooting of digital services but also an assessment about the economic and operational impact of service releases. Changes in best fitting models may reflect different informal work cultures among the operation teams.

Keywords: Time series; Telecom services; Team behavior; Case management (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10100-018-0547-6

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