What is it
Ticket Analyzer is an advanced tool that leverages generative artificial intelligence and quantitative methods to analyze large volumes of IT tickets (support requests). It can extract structured insights from heterogeneous sources such as free text, emails, notes, or problem descriptions, automatically creating datasets ready for data analytics (e.g., in Power BI, Excel, or other reporting tools).
By combining NLP techniques with generative models, Ticket Analyzer enables accurate understanding and classification of content, improving IT team efficiency and enhancing the user experience
To get started
It is sufficient to provide:
- Historical IT tickets (exports from platforms such as Jira, ServiceNow, etc.)
- Structured fields (status, category, resolution time, etc.) and/or free text (ticket description, emails, notes)
- Any known labels, priorities, or clusters (optional, to improve classification)
The system will process, enrich, and normalize the data to make it ready for analysis, enabling a continuous workflow into AI-driven data analytics environments
Benefits and Key Features
Converts unstructured data into actionable insights for monitoring and improving IT processes.
Integrates generative AI and NLP techniques to understand natural language and automatically categorize textual content.
Produces structured datasets that can be easily integrated into dashboards and corporate KPIs for data-driven decision-making.
Supports the creation of databases for data science projects and operational optimization.
Output
Ticket Analyzer enables you to:
- Automatically extract and classify issues, intervention areas, and recurring causes
- Generate clean, structured datasets from non-uniform tickets
- Feed dynamic dashboards in Power BI, Excel, or other analytics tools
- Drastically reduce time spent on manual reading, labeling, and clustering of tickets
- Identify patterns, bottlenecks, and areas for improvement in IT support processes
This product is also available in an outsourcing model.
Contact us for more information on how to use D-SaaS services.
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