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Reducing defects in IT service delivery

机译:减少IT服务交付中的缺陷

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摘要

In IT Service Delivery organizations, Quality Analysts (QAs) are responsible for analyzing sets of service tickets to detect exceptional trends, launch investigations and identify and remove defects in the IT environment, thereby bringing down the volume of incidents over time. The large scale of operation (thousands of tickets), hard to detect temporal variations, mix of structured and unstructured data and lack of suitable tool support make the QA's job very time-consuming and challenging. Based on extensive interactions with QAs and field study, we have developed a tool named Drishti that combines a novel and highly interactive user interface, with advanced text processing and statistical analysis support to drastically reduce the time needed to carry out quality analysis, and improve the outcome. The tool has been deployed widely in IBM's global delivery centers and significant benefits have been realized in terms of productivity improvement of QAs as well as the number of investigations that could be triggered to reduce defects.
机译:在IT服务传递组织中,质量分析师(QAS)负责分析服务票据,以检测异常趋势,发布调查和识别和识别IT环境中的缺陷,从而随着时间的推移降低事件的数量。大规模的操作(数千张门票),难以检测时间变化,结构化和非结构化数据的混合,缺乏合适的工具支持使QA的工作非常耗时和挑战。基于与QAS和现场研究的广泛互动,我们开发了一个名为DRISHTI的工具,该工具结合了新颖和高度交互式的用户界面,具有先进的文本处理和统计分析支持,以大大减少进行质量分析所需的时间,并改善结果。该工具已在IBM的全球交付中心部署,在QAS的生产率提高以及可以触发以减少缺陷的调查数量方面已经实现了显着的好处。

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