在现实环境中定义目标驱动的故障管理度量:来自Nokia的案例研究

Arto Oinas
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引用次数: 5

摘要

为了使度量有价值,它们必须与组织的目标联系起来。自动化数据收集系统是有效的,但它们可能鼓励只收集容易获得的数据。诺基亚的固定交换单元有支持其流程的自动数据收集系统。它通过在现有系统之上定义目标驱动的度量,开始了基于度量的故障管理过程的改进。故障管理包括故障分析、故障纠正和故障纠正的下发。这项工作包括将高级目标转换为度量目标,应用目标-问题-度量范式来识别问题和指标,以及识别所需的数据。从研讨会开始有助于从业者的参与。指定度量目标有助于定义针对特定受众的具体度量。定义的度量服务于监视故障流量和流程改进的目的。度量标准需要发展,并且首先实现的度量标准只使用来自故障跟踪系统的数据,提供目前最好的报告设施。然而,需要对数据进行定性检查的度量标准不能自动化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defining goal-driven fault management metrics in a real world environment: a case-study from Nokia
For measurements to be worthwhile, they must be linked to the goals of an organization. Automated data collection systems are effective, but they can encourage collecting only data that is easily available. The Fixed Switching unit from Nokia has automated data collection systems supporting its processes. It started measurement based improvement of the fault management process by defining goal-driven metrics on top of the existing systems. Fault management includes the analysis and correction of faults, and the delivery of corrections. The work consisted of translating high-level goals into measurement goals, applying the Goal-Question-Metric paradigm to identify questions and indicators, and identifying needed data. Starting with a workshop setting helped to get practitioners involved. Having specified measurement goals helped defining concrete metrics that are targeted at specific audiences. The defined metrics serve the purposes of monitoring fault traffic, and process improvement. Metrics need to evolve, and the metrics implemented first use only data from the fault tracking system, providing the best reporting facilities at the moment. However, metrics that require qualitative checking of data cannot be automated.
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