Process.Science for ITSM

Name: Process.Science for ITSM
Brand: Process.Science
Rating: 4.7 (158 reviews)

Your next step towards modern IT service management (ITSM)

Process.Science Service Management Multi Hop Dashboard in Power BI

Process.Science Service Management Rework Dashboard in Power BI

Process.Science Service Management Detailed Dashboard in Power BI

Process.Science Service Management Lead Times Dashboard in Power BI

Process.Science Service Management Case Viewer Dashboard in Power BI

Process.Science Service Management Benchmark Dashboard in Power BI

Introduction

In a world where SLA targets, resource constraints, and process inefficiencies are part of everyday life, IT teams need more than just traditional tools. Process.Science for ITSM addresses modern challenges with real-time analytics, automation, and complete transparency across your entire toolchain.

What is Process.Science for ITSM?

Process.Science for ITSM is a platform for in-depth analysis of ITSM processes, designed to uncover optimization potential, automate workflows, and reliably meet SLA requirements. The solution provides targeted support for your IT process optimization.

By applying process mining to tools such as Jira, Azure DevOps, and ServiceNow, it not only analyzes tickets but also visualizes the entire lifecycle of your service processes.

The solution goes far beyond classic dashboards:

How often are tickets moved?
Where do unnecessary handovers or loops occur?
Which transitions do agents use most frequently – and with what impact?
Which process variants lead to delays?
How do real processes differ from the defined ‘happy path’?

Process.Science for ITSM answers these questions with data-driven, visually prepared insights that can be seamlessly integrated into your BI environment.

Book a demo

Free trial

Why choose Process.Science for ITSM?

Understand ticket processes and increase service efficiency.

In many ITSM environments, tickets remain in progress for too long, pass through multiple departments, and exceed defined SLA times. The root causes often remain hidden directly impacting efficiency and customer satisfaction.

Process.Science brings clarity

Visualization of the entire ticket history
Automatic detection of bottlenecks, loops, and inefficient transitions
Analysis of process variants and their impact on throughput times
Workflow benchmarking over time
Compliance checks: How much do actual processes deviate from the target process?

Your advantages at a glance

Comprehensive transparency across all ITSM processes
Automated detection of bottlenecks and delays
Proactive control through intelligent service management for effective IT process optimization
Seamless integration into your BI landscape
Customer-oriented development of your IT services

fast & easy

Start now with Process.Science!

Getting started with Process Mining is easier than you think. Thanks to seamless integration with existing BI systems such as Power BI or Qlik Sense, you can work with familiar tools. All you need for a quick “proof of value” is

Basic process data (event logs) from your systems, which our solution can extract
A business process as a starting point
1-2 days for initial setup and first results

Qlik Sense Power BI

How can Process.Science transform your ITSM strategy?

Building bridges between classic ITSM and modern DevOps practices.

With Process.Science, you close the gap between traditional service processes and agile methods. Our solution offers:

Dynamic IT process optimization instead of static reports
Cross-system insights for maximum transparency
Early problem identification through predictive analytics
Uncovering untapped potential for continuous improvement
Visual filtering of process variants for targeted root cause analysis

Who is Process.Science for ITSM designed for?

Our solution is ideal for:

IT service managers who focus on effective IT process optimization and want to reliably achieve SLA targets
DevOps teams seeking to eliminate deployment bottlenecks
IT operations managers who prefer proactive over reactive approaches
Jira administrators, IT, and service desk managers looking to clarify complex processes

What features make the difference?

Full control over the entire ticket lifecycle

End-to-end analysis from creation to closure – including all transitions and variants.

Reliable SLA performance and compliance monitoring

Real-time tracking and automatic adherence to ITIL standards ensure top-tier service quality.

Identification of bottlenecks and optimization potential

Analyze transition times, loop frequency, and process deviations at the activity level.

Improvement of change and resource management

Intelligent analyses and precise capacity planning ensure smooth processes and thus promote IT process optimization.

Sustainable efficiency gains through automation

Identify repetitive tasks and uncover automation potential – fully integrated into your BI environment.

Part of the Process.Science Team: Babette, André & Lucas M.

How to get started

Want to learn more about the benefits and use cases or get started right away? Here are your next steps:

Schedule a demo

Let us show you the solution for IT process optimization in a personalized presentation—tailored precisely to your requirements.

Join us live every two weeks

Our webinar shows you how to analyze ITSM processes more intelligently.

Book a Demo

Participate in a webinar

Start Now

Schedule an Appointment

Start analyzing and optimizing your processes today.
Please contact us for an individual offer.

Contact

Solutions for IT Service Management (ITSM)

See exactly where your service tickets get stuck

In a world where SLA targets, resource constraints, and process inefficiencies are everyday challenges, IT teams need more than just traditional tools. Process.Science acts as the universal translator between ITSM and DevOps, making ticket ping-pong, SLA violations and endless loops visible, fully automated across your entire toolchain.

Discover the use cases

How we start

The reality in unoptimized service organizations

34%

Of all tickets pass through multiple departments (ping-pong) several times before being resolved.

Locked

Resources due to constant deviations from the defined "happy path" that force manual rework.

SLAs at risk

Tickets often remain unnoticed in queues, leading to broken service-level agreements and penalties.

Your ITSM Dashboards in Action

We answer the questions where classic Jira or ServiceNow reports fail. See data-driven insights on where your service processes get stuck and where ITSM and DevOps teams lose each other along the way.

Diagram showing interconnected software modules labeled WMS, CRM, IoT, EMS, and ERP linked to a digital dashboard displaying flowcharts and data tables in business intelligence platform Power BI.

Idle Times & Rework

Uncover Ticket Ping-Pong & Loops

How often are tickets moved? Where do unnecessary handoffs occur? When tickets circulate between 1st-level, 2nd-level, and specialist or DevOps teams, efficiency drops and frustration rises.

Rework Analysis: Precisely visualize which transitions agents use most frequently and their impact.

Idle Time Tracking: Identify in which status transitions (e.g., “Waiting for Customer”) tickets actually spend most of their time.

Root Cause Analysis: Identify support groups that are regularly overloaded and act as bottlenecks.

Performance & SLAs

Proactively Prevent SLA Violations

A classic dashboard shows you at month-end how many SLAs were breached. Process Mining shows you during the month which process variants actually cause these delays, and why your Mean Time to Resolve (MTTR) keeps climbing while Lead Time for Changes rises too.

Benchmarking: Compare workflows across different time periods, support levels, or locations.

Prediction: Identify patterns in tickets that are highly likely to
exceed their resolution time.

Reduce MTTR: Lower your Mean Time to Resolve by targeted
elimination of process blockers.

Process Compliance

Enforce the “Happy Path”

In theory, there is a perfect ITIL-compliant process. In reality, there
are hundreds of deviations. How much do your actual workflows
deviate from the defined "Happy Path"?

Compliance Check: Automatically compare your target processes with the unvarnished ITSM reality.

Variant Filter: Use visual filtering to specifically examine outliers and perform root cause analyses.

Automation Potentials: Identify high-frequency standard paths ideal for RPA or script automation.

From Jira & ServiceNow to Process Intelligence

Powered by our Data Preparation Tool (DPT), Process.Science connects to your ticket systems, from Jira Service Management and ServiceNow to Azure DevOps, and turns the event logs they already generate into process intelligence. For a quick "proof of value," you only need the basic process data your systems already produce.

Compatible with:

Jira Service Management

ServiceNow

Azure DevOps

01. Data Extraction

We connect your ticket systems. Every status change, comment, and assignment is recorded as a digital footprint.

02. Event Log Generation

We connect your ticket systems. Every status change, comment, and assignment is recorded as a digital footprint.

Our USP

03. Flexible Integration

This is where Process.Science stands apart. The visually prepared insights are calculated directly in your existing Power BI or Microsoft Fabric or on the Process.Science platform.

04. Actionable Insights

You immediately see where handoffs stall, so you can act with better self-service portals, automated diagnostic scripts, and clearer routing between ITSM and DevOps teams.

Security by Design

Built for IT departments: Highest Data Security. With Process.Science, you retain full control over your ITSM data while simultaneously driving dynamic IT process optimization

No one knows better than IT itself how risky it is to transfer internal support and system data to external cloud silos. That’s why we chose an architecture admins love.

Your Infrastructure

Our solution integrates natively into your existing Power BI or Microsoft Fabric or runs on the Process.Science platform. Ticket data never leaves your protected corporate environment.

Certified Secure

ISO 27001 certification and 100% GDPR-compliant data processing “Made in Germany”.

Governance & Compliance

Roles and permissions from Azure AD or your BI system are seamlessly adopted.

Measurable Service Excellence

Process.Science bridges the gap between traditional service processes and agile DevOps methods, turning ITSM and DevOps from adversaries into allies. Our customers drastically transform their service management:

Leading IT Service Company: Reduced ticket resolution time (MTTR) by 35% by eliminating unnecessary 2nd-level escalations.

Global Financial Services Provider: Increased SLA compliance from 82% to 98% through proactive bottleneck detection in ServiceNow.

European Software Corporation: Identified high-frequency standard tickets in Jira and successfully automated them, saving hundreds of support hours monthly.

Any more questions?

Frequently Asked Questions from IT

The most important answers for IT service managers and DevOps teams.

Do we need to export our Jira or ServiceNow data to an external cloud?

No! That is the biggest advantage of Process.Science. Our technology runs as a native plugin directly within your Power BI or Qlik Sense. Your sensitive ticket and user data remain completely within your own secure IT infrastructure.

We have very customized Jira workflows and countless custom fields. Can you support that?

Yes. Process Mining is flexible. We extract the raw event logs (ticket ID, status changes, timestamps, user) as well as all relevant custom fields you need for your analysis. Our system adapts to your workflows, not the other way around.

We already use reporting in ServiceNow. Why do we need process mining?

The standard reporting shows you static metrics: for example, that you missed 40 SLAs last month. Process Mining is dynamic and shows you why: it visualizes the actual path of tickets, uncovers hidden ping-pong loops, and shows you exactly at which transition the crucial time was lost.

Can we compare the performance of different support teams (e.g., 1st vs. 2nd level)?

Absolutely. Process.Science enables detailed benchmarking of workflows. You can filter and compare processes across different time periods, locations, or support levels. This way, you identify best practices in one team and can transfer them to others.

How long does the setup take for an initial test (PoC)?

Getting started is extremely efficient. Since we don’t need to build new infrastructure, we usually require only 1-2 days for initial setup and first results. During our 4-week proof of concept, we then jointly uncover specific areas for action.

Transparency in 30 Days

Test Process.Science on your Ticket Data

Request our free one-pager. Learn how our Proof of Concept (PoC) works and how we uncover ticket ping-pong and SLA issues in just 4 weeks.

Support by ITSM Specialists

Analysis directly in Power BI, Microsoft Fabric, or the Process.Science platform, whichever you prefer

100% GDPR-compliant and secure

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