IT Service Management -
Workflows, reporting, visibility.

360 ° view at your services.

Collection of all existing IT service and business-related data, per type, instance, measured value, relevance, times

Can be used as data sources

  • IT raw data,
  • Business metrics
  • User experience data or
  • User support tickets 
  • PCAP Data - any protocol fields / metrics 



  • Evaluation of the data against profiles (e.g. availability, performance) - creates incindets when critical values are recognized. 
  • Comparison of incidents against configured service times
  • Organization changes data in service, business and technology structures. That enables different Perspectives on a service that has this service too evaluate differently - an SLA view of a service different from an operational or business perspective
  • Prioritization of the data depending on metrics and elements 
  • Service structures - are evaluated as a whole and in their sub-structures individually. In this way, a service value can be created for the entire It operation, individual services - and their elements.  



SLIC shows the determined KPIs in real time depending on the service in different views - which make it possible to recognize:

  • Service status in their KPIs - depending on the business perspective,
  • critical success factors (CSF) for KPIs aggregated
  • Representation of the critical technologies, their elements
  • and you Impact of elements and technologies both on each other (how does the network affect application performance) and on the end view (e.g. business, SLA, user experience)



  • Slic combines all service-relevant technologies and key figures under one system
  • Import technology data, monitoring data from other systems, APM, NPM, security, business, production data and combine them with one another
  • Recognize deviations from the "target" or "normal"
  • Recognize the impact of the deviations from all areas on each other and on the final service status
  • Views and reports for all levels - technical departments,
    Business departments, industrial manufacturing, ecommerce,
    End service customers, C management


  • High transparency of the status of business and IT
  • Clear allocation of the interdependence of technologies and business
  • Significant reduction in downtimes thanks to faster cause-effect detection
  • Significant reduction in incidents - through precise optimization decisions

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