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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Gaining Insight from Operational Data for Service Optimization
verfasst von : Kristof Kloeckner, John Davis, Nicholas C. Fuller, Giovanni Lanfranchi, Stefan Pappe, Amit Paradkar, Larisa Shwartz, Maheswaran Surendra, Dorothea Wiesmann
Erschienen in: Transforming the IT Services Lifecycle with AI Technologies
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Abstract
Service optimization is key in the drive to further automate and increase the effi-ciency of the services provided to clients. A given client may be ahead, in one or more areas, versus where other clients are. Learning from these best-of-breed cli-ents benefits the other clients in optimizing their services. Each of the clients normally generates a large number of data points for all the elements comprising the services they consume. Important data points are generally contained within incident tickets and change tickets. These tickets contain not only information about the nature of the issue, but also contain resolution information.