IT Service Analytics
Turn Tickets into Actionable Measures
We analyze your service and ticket data and show you where your IT is really losing time, which problems occur most frequently, and how you can become measurably more efficient.
AI analysis
data processing
action recommendations
Challenges
Why IT data analysis is crucial for you
Many IT teams solve similar incidents daily, document tickets in different systems, or work with outdated Excel reports. This costs time, blocks specialists, and prevents plannable decisions. The data contains valuable signals, but without automation, evaluation is too time-consuming in daily operations and remains operational instead of management-relevant.
- Lack of overview: Unclear which services are used and where incidents accumulate; reliable process KPIs are missing.
- Inefficient staffing: Recurring patterns are not systematically recognized, the resulting routine permanently ties up specialists.
- High manual analysis effort: Reports cost time but often deliver no root cause or prioritization logic.
- KPI reports without impact: Numbers are available, but strategic derivation of concrete measures is missing.
Solutions
AI-based service analysis: Optimize portfolio, processes, and operations on a reliable data foundation
We use your ITSM data from data integration and analyze it using our AI analysis tool, which is hosted GDPR-compliant at a C5-certified German cloud provider.
-
Data preparation & structuring
- We clean, validate, and harmonize your raw data, reducing duplicates and contradictions. This makes ticket data, categories, free texts, and attachments consistently analyzable and forms the foundation for KPIs, root cause insights, and automation.
-
Root cause analysis of requests and problems
- The analysis identifies recurring themes, clusters, and drivers in your ticket and incident data, supporting root cause analysis especially for major incidents and frequent incident patterns. This reveals "top pain points" that can be addressed operationally and structurally.
-
Consulting & individual roadmap
- Based on the results, we answer your typical questions data-driven: Which services generate disproportionate effort, where are standards missing, which automations pay off most? This creates a prioritized roadmap for process optimization, knowledge management, and automation.
How efficiently is your service management working? Schedule an analysis meeting
Customer Success
From unclear tickets to clear management impulses
A company used Serviceware Processes for IT service management. Tickets contained free texts, attachments, and were inconsistently categorized, making reliable evaluation impossible. The goal was to make ticket content structurally usable and translate operational patterns into concrete improvement measures.
The solution
Semantic analysis: Topics, root cause indicators, and incident patterns are extracted from free texts; irrelevant content is reduced.
Clustering & attachment analysis: Similar tickets are grouped; context from attachments (e.g., screenshots) is made usable for evaluations.
Interactive BI dashboard: Real-time KPIs and drill-downs provide both overview and detailed clarification; operation optionally on your own infrastructure.
IT management identified efficiency drivers and initiated first measures to reduce routine effort and relieve specialists (e.g., AI chatbots in knowledge management).
Benefits
Why AI-based service analyses pay off for your IT team
Given the shortage of skilled workers and high innovation pressure, companies cannot afford to use their IT specialists inefficiently. The analysis delivers not just metrics, but prioritized starting points that actually have an impact in operations and organization.
-
Relief for IT specialists
- Routine and repetition patterns become visible and can be automated or standardized.
-
Sustainable cost reduction
- Less duplicate work, better processes, fewer redundant services, and more targeted automation.
-
More time for innovation work
- Capacity is freed up for transformation, architecture, and modernization.
-
Fewer incidents
- Recurring causes are identified and addressed structurally, instead of just being processed repeatedly.
-
Higher user satisfaction
- Faster solutions, more consistent service experience, less ticket ping-pong.
-
Better decisions
- Clear view of portfolio, effort drivers, and priorities for the future.
Approach
In four steps from ticket data to actionable measures
1. Kickoff workshop
You explain your goals and current bottlenecks to us. In dialogue, we determine which data needs to be analyzed to gain clarity.
2. Data analysis
We feed your ITSM data into our AI analysis tool, prepare it, and perform the analysis. Your data is processed GDPR-compliant in a German cloud with banking-level security.
3. Results visualization
You receive an intuitive dashboard with all results that you can trace in detail using drill-downs. The dashboard is integrated into your infrastructure – you remain independent.
4. Individual action plan
In a final workshop, we develop next action steps and give you concrete recommendations for automation, process, and knowledge management.
Free initial consultation
Let's talk about your data
Learn how we optimize your data integration, increase data quality, and provide you with a reliable basis for automation & AI