Page 9 - Methodology for inter-operator and cross-border P2P money transfers

Executive Summary

The present document describes the QoE assess- provided which also help to achieve data quality by
ment methodology for the use case “Person-to-Per- giving implicit guidance to field test teams. Together,
son" (P2P) money transfer in the cases of person-to- these components provide the means for operational
person money transfer in a generalized context which robustness and a high level of data quality.
includes inter-operator and cross-border use cases. The data objects defined here support test planning
This work is based on ITU-T Recommendation G.1033, and management as well as provide the input data
where a conceptual framework for Quality of service foundation for efficient processing of data. Also,
and quality of experience aspects of digital financial guidance is given on how data processing can be
services is standardized, and on ITU-T Recommen- done in a consistent and efficient way by using a
dation P.1502 which standardizes a methodology for SQL database.
QoE testing of digital financial services for person- Last but not least, the methodology introduces a new
to-person money transfers for the basic P2P transfers tool designed to assist field test teams in data collec-
between two devices using the in the same network tion. This tool (“multi-stopwatch”), conceptually
and DFS operator. already suggested in ITU-T Recommendation P.1502,
The present document has three main elements. is an electronic time-taking tool similar to a stopwatch
Firstly, the methodological framework and use case but supporting testers to record the events within a
definitions for a generalized P2P money transfer use DFS test case and upload data entered by testers
case are given. In this framework, the DFS opera- directly to a central location. It eliminates the needs
tor used to send money, and the operator receiving and weaknesses of manual entering time readings
money (i.e., the A and B side of a money transfer) and transferring them to post-processing through
are parameters of the use case, which integrates multiple transformation stages, e.g., from handwrit-
all variations (same operator/inter-operators; same ten notes to entries in a spreadsheet. The inherent
country/cross-country) into the same methodolog- data consistency provided by this tool translate into
ical context. significantly lower effort in data preparation, vali-
The second element of the methodology is a dation and eventual correction, and to respectively
comprehensive framework for data elements and higher levels of efficiency and data yield from tests.
related processing, and check list templates are

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