> Continuous Process Improvement > Change Management > Ivanti Cherwell

Improve Your Change Management

Your 6-step guide to optimize Ivanti Cherwell
Download Data Template
Improve Your Change Management
Challenges (12) Goals (12) 6 Steps Preview Outcomes Data FAQs (5)

Optimize Ivanti Cherwell Change Management for Faster, Smoother Updates

Process bottlenecks often lead to delays and wasted resources. Our platform helps you precisely pinpoint where these inefficiencies occur, from lengthy approval queues to complex implementation handoffs. Gain clear, actionable insights to streamline your operations and ensure smoother, more efficient updates across your organization. Discover how to enhance compliance and reduce risks effectively.

Download our pre-configured data template and address common challenges to reach your efficiency goals. Follow our six-step improvement plan and consult the Data Template Guide to transform your operations.

Show detailed description

Why Optimize Ivanti Cherwell Change Management?

Effective Change Management is crucial for any organization, serving as the gatekeeper for system updates, process improvements, and new service deployments. In a system like Ivanti Cherwell Service Management, changes can range from minor configuration tweaks to major infrastructure overhauls. However, if not managed efficiently, this critical process can become a source of significant bottlenecks, leading to delays, increased operational costs, and even service disruptions. Poorly executed changes can result in system outages, compliance violations, and a slowdown in innovation, directly impacting your organization's ability to adapt and grow. Understanding the true flow of your Change Management process within Ivanti Cherwell is the first step toward reducing these risks and unlocking greater efficiency. This approach helps you move beyond theoretical process maps to see exactly where delays occur and how they affect your overall service delivery.

How Process Mining Unlocks Insights for Ivanti Cherwell Change Management

Process mining offers a powerful, data-driven approach to analyzing your Ivanti Cherwell Change Management process. By extracting event logs from your Ivanti Cherwell system, process mining tools reconstruct the complete, end-to-end journey of every change request, from its initial creation to final closure. This comprehensive perspective, centered on the Change Request ID as the case identifier, allows you to visualize the actual process flow, identify deviations from standard paths, and pinpoint exactly where inefficiencies lie. You can observe the typical activities, such as "Change Request Created", "Risk Assessment Performed", "Change Request Approved", and "Change Implemented", understanding their sequence and duration. This method moves beyond assumptions, providing clear evidence of bottlenecks in approval workflows, unforeseen rework loops, and non-standard execution paths. It's an indispensable tool for uncovering the hidden complexities and true performance of your Change Management, helping you answer questions like "how to improve Change Management" with concrete data.

Key Improvement Areas Revealed by Process Mining

Process mining in Ivanti Cherwell Change Management often highlights several critical areas for optimization:

  • Approval Cycle Bottlenecks: Identify specific approval groups or individuals that consistently cause delays, or detect unnecessary approval steps that extend the overall Change Management cycle time. You can visualize parallel versus sequential approvals and identify opportunities for streamlining.
  • Implementation Efficiency: Uncover inefficiencies in resource allocation, scheduling, or handoffs between teams during the "Change Implemented" phase. This helps identify where changes get stuck or require excessive time.
  • Compliance and Risk Management: Automatically detect instances where required steps, such as "Risk Assessment Performed" or "Impact Analysis Conducted", are skipped or executed out of sequence, flagging potential compliance risks and policy violations. This ensures a more robust and compliant process.
  • Rework and Failed Changes: Analyze paths that lead to repeated activities, rejections, or failed changes, identifying root causes related to planning, testing, or communication. Understanding these patterns is key to improving your first-time-right rate.

Expected Outcomes of Optimized Change Management

By applying process mining to your Ivanti Cherwell Change Management data, you can expect measurable improvements:

  • Reduced Change Management Cycle Time: Accelerate the speed at which changes move from request to implementation, delivering value to your organization faster. This directly addresses the goal of "how to reduce Change Management cycle time".
  • Enhanced Compliance and Audit Readiness: Ensure all changes adhere strictly to organizational policies and regulatory requirements, minimizing risk and improving audit outcomes.
  • Improved Resource Utilization: Optimize the allocation of your teams and budgets by eliminating wasted effort and streamlining workflows.
  • Greater Service Stability: Decrease the number of incidents and disruptions caused by poorly managed changes, leading to a more reliable IT environment.
  • Data-Driven Decision Making: Move beyond intuition to make informed decisions based on empirical evidence, leading to continuous process optimization.

Getting Started with Your Change Management Process Optimization

Embarking on a journey to optimize your Ivanti Cherwell Change Management with process mining empowers your organization to manage change more effectively, reduce operational risks, and accelerate the delivery of business value. By leveraging your existing Ivanti Cherwell data, you gain unparalleled transparency into your processes. This approach transforms abstract goals into actionable insights, providing a clear roadmap for continuous improvement.

Change Management ITIL Change Service Management Change Approval Implementation Efficiency Risk Reduction Compliance Auditing IT Operations

Common Problems & Challenges

Identify which challenges are impacting you

Delays in getting changes approved can halt crucial system updates or service improvements, leading to missed deadlines and frustrated stakeholders. This impacts business agility and can leave systems vulnerable longer.ProcessMind visualizes the approval workflow within Ivanti Cherwell Change Management, highlighting specific approval steps or groups causing extended waiting times. By pinpointing these bottlenecks, organizations can reallocate resources, refine approval matrices, or automate routine approvals, significantly accelerating change deployment and improving operational responsiveness.

Change requests that are frequently rejected or require significant rework waste valuable time and resources, prolonging deployment cycles and increasing operational costs. This often indicates unclear requirements, insufficient impact analysis, or poor communication in the initial stages.ProcessMind maps the complete lifecycle of rejected Ivanti Cherwell Change Management requests, identifying common points of failure or stages where incomplete information leads to rejections. Understanding these patterns allows for targeted training, improved request forms, or better pre-submission validation, reducing rework and ensuring smoother, more efficient change processing.

Consistently missing Service Level Agreement (SLA) targets for change completion leads to a decline in service quality, user dissatisfaction, and potential regulatory non-compliance. These delays can disrupt business operations and erode trust in IT service delivery.ProcessMind automatically flags all Ivanti Cherwell Change Management instances where target completion dates or internal SLAs are breached, revealing the exact activities or stages contributing to these delays. This insight empowers teams to proactively address resource constraints, optimize scheduling, or adjust processes to consistently meet service commitments and enhance operational reliability.

Even after approval, inefficient implementation stages can prolong the overall change cycle, delaying the realization of benefits and increasing the risk window. This can strain implementation teams and impact system stability.ProcessMind provides a detailed view of the implementation phase within Ivanti Cherwell Change Management, breaking down the time spent on activities like resource allocation, scheduling, and actual deployment. By identifying specific bottlenecks or excessive handoffs in this critical phase, organizations can streamline tasks, improve coordination, and reduce the time from approval to successful deployment.

Inconsistent or insufficient risk assessment during the change process can lead to unexpected outages, security vulnerabilities, or operational disruptions post-implementation. This exposes the organization to unnecessary risks and reactive problem-solving.ProcessMind analyzes the correlation between initial risk assessments and actual change outcomes in Ivanti Cherwell Change Management, highlighting cases where high-impact changes bypassed thorough risk review or where low-risk changes received excessive scrutiny. This data-driven approach helps standardize risk assessment practices, ensuring appropriate controls are applied and reducing the likelihood of adverse events.

Deviations from defined Change Management procedures can lead to serious compliance violations, audit findings, and increased regulatory scrutiny, especially for critical systems or data. Such gaps undermine governance and expose the organization to legal and financial penalties.ProcessMind automatically detects all instances of non-compliance in the Ivanti Cherwell Change Management workflow, such as skipped approval steps or unauthorized activity sequences. By pinpointing these deviations, organizations can enforce stricter adherence to policies, provide targeted training, and ensure a robust, auditable change process.

When changes deviate from the documented and approved process without proper authorization, it introduces significant operational risks, reduces control, and creates audit challenges. These "shadow" activities undermine the very purpose of structured Change Management.ProcessMind provides a comprehensive map of all actual process paths taken by changes in Ivanti Cherwell Change Management, revealing any unsanctioned shortcuts, bypassed steps, or unrecorded activities. This visibility enables organizations to identify where and why unauthorized deviations occur, allowing for policy enforcement and better governance to maintain process integrity.

Improper allocation of human and technical resources for change implementation can lead to bottlenecks, burnout, and prolonged project timelines. Teams may be consistently overloaded while others remain underutilized, impacting overall productivity and staff morale.ProcessMind analyzes the workload distribution across different teams and resources involved in Ivanti Cherwell Change Management by correlating activity durations with assigned groups or individuals. This analysis identifies where resources are bottlenecks or idle, enabling more balanced task assignments, better capacity planning, and smoother change execution.

Some categories of changes, or changes affecting specific services/systems, consistently experience more delays, rejections, or post-implementation issues. Identifying these patterns is crucial for proactive improvement, but often difficult without deep process visibility.ProcessMind segments Ivanti Cherwell Change Management processes by "Change Type" or "Affected Service/System" attributes, revealing which specific categories consistently underperform against KPIs like completion time or success rate. This allows organizations to develop targeted strategies, pre-approved templates, or specialized teams for these challenging change types, improving their success rate.

Without clear, real-time visibility into the status and progress of all active changes, stakeholders struggle to make informed decisions, anticipate impacts, and manage expectations. This often leads to reactive management and a lack of accountability.ProcessMind constructs an end-to-end visual map of every change request in Ivanti Cherwell Change Management, providing a live overview of where each change is in its lifecycle, who is responsible, and its current status. This enhanced transparency empowers better stakeholder communication, proactive issue resolution, and improved decision-making across the organization.

An excessive number of handoffs between different teams or roles in the Change Management process can introduce communication overhead, lead to delays, and increase the likelihood of errors or dropped tasks. Each transfer represents a potential point of friction and waiting time.ProcessMind meticulously tracks every transition between responsible groups or individuals in the Ivanti Cherwell Change Management workflow, quantifying the number and duration of these handoffs. This analysis helps identify areas where responsibilities can be consolidated, processes simplified, or automation introduced to reduce unnecessary transfers and accelerate the change cycle.

If post-implementation reviews (PIRs) are consistently delayed, superficial, or even skipped, the organization misses critical opportunities to learn from change successes and failures, hindering continuous improvement. This can lead to recurring problems and a stagnation of process maturity.ProcessMind monitors the completion rates and timeliness of the "Post-Implementation Review" activity within Ivanti Cherwell Change Management, correlating its execution with overall change success and subsequent incident rates. This reveals whether PIRs are being effectively conducted and helps identify areas for improving feedback loops and embedding lessons learned into future change processes.

Typical Goals

Define what success looks like

Delays in approving changes can bottleneck critical system updates and new feature deployments, impacting business agility and user satisfaction. This goal aims to significantly reduce the time taken from change submission to final approval in Ivanti Cherwell, ensuring changes move through the pipeline faster and more efficiently. Measuring average approval duration provides a clear metric for improvement.ProcessMind identifies the specific stages and individuals causing delays in the Ivanti Cherwell approval process, uncovering bottlenecks and rework loops. By visualizing the actual process flow and analyzing wait times between activities, organizations can pinpoint where to introduce automation or parallel approvals, potentially cutting approval times by 20-30%.

A high rejection rate for change requests indicates inefficiencies in the initial submission or review process, leading to wasted effort and delays. This goal focuses on minimizing the number of changes that are rejected outright in Ivanti Cherwell, ensuring that requests are well-prepared and aligned with policies before reaching final review. Success is measured by a decrease in the percentage of rejected changes.ProcessMind uncovers the common reasons and patterns leading to change rejections, such as missing information, incorrect risk assessments, or policy non-compliance. By analyzing the paths of rejected changes, ProcessMind can highlight specific pre-approval activities or data points that need improvement, helping teams refine submission guidelines and reduce rejections by 15-25%.

Missing target completion dates for changes can disrupt project timelines, impact service availability, and erode stakeholder trust. This goal aims to increase the percentage of Ivanti Cherwell changes that are completed within their scheduled timeframe, enhancing predictability and reliability. Success is defined by a measurable rise in changes meeting their target completion dates.ProcessMind maps the full lifecycle of each change request in Ivanti Cherwell, revealing precisely where delays occur during implementation, testing, or verification. By identifying common deviations from planned paths and activities that extend cycle times, ProcessMind enables targeted interventions to optimize scheduling and resource allocation, improving on-time completion rates by 10-20%.

Inefficient implementation phases are a major source of delays, consuming excessive resources and prolonging service downtime or disruption. This goal focuses on streamlining the execution of approved changes in Ivanti Cherwell, from resource allocation to actual deployment, minimizing bottlenecks and rework. Improvements are measured by shorter implementation durations and fewer post-implementation issues.ProcessMind provides a detailed view of the implementation sub-process, highlighting specific activities or handoffs that contribute most to delays. It can identify patterns where certain implementation teams or change types consistently experience longer cycle times. Leveraging these insights, organizations can re-engineer workflows and improve resource coordination, accelerating implementation by 15-25%.

Inconsistent risk assessment practices can lead to either excessive caution, causing unnecessary delays, or insufficient scrutiny, increasing service instability. This goal aims to ensure a uniform and effective approach to evaluating change risks in Ivanti Cherwell, ensuring appropriate controls are applied consistently. Success is measured by a reduction in post-change incidents related to underestimated risks.ProcessMind analyzes how risk assessments are conducted for different change types and priorities, identifying deviations from standard procedures. It can correlate specific assessment paths with post-implementation incidents or failures. This clarity allows for the enforcement of best practices and the automation of certain risk assessment steps, improving consistency by over 30%.

Gaps in compliance with change management policies expose an organization to operational risks, audit failures, and potential regulatory penalties. This goal aims to ensure that every change executed in Ivanti Cherwell strictly adheres to predefined rules and internal governance frameworks. Success is measured by a reduction in identified compliance deviations and audit findings.ProcessMind automatically detects all actual process flows for Ivanti Cherwell changes and compares them against documented models, immediately highlighting any unauthorized deviations or missing mandatory steps. This continuous auditing capability allows organizations to proactively address non-compliant behaviors and enforce policy adherence, reducing compliance gaps by 20-40%.

Unauthorized deviations from the defined change management process in Ivanti Cherwell can lead to increased risk, reduced control, and potential security vulnerabilities. This goal focuses on ensuring that all changes follow the established, approved workflow without any unsanctioned shortcuts or alternative paths. Success is measured by a near-zero incidence of detected deviations from the golden path.ProcessMind's conformance checking capabilities allow organizations to compare the actual flow of every change against its ideal model, instantly flagging any steps taken out of sequence or skipped entirely. By visualizing these deviations, ProcessMind helps identify the root causes and enforce stricter process governance, aiming to virtually eliminate unauthorized paths.

Inefficient allocation of human and technical resources to change initiatives can lead to wasted effort, project delays, and burnout for teams. This goal aims to ensure that resources are optimally assigned and utilized throughout the Ivanti Cherwell change management lifecycle, maximizing productivity and minimizing bottlenecks. Success is measured by improved resource availability and reduced idle times.ProcessMind identifies patterns of resource contention or underutilization within the change process by analyzing activity durations and handoff times. It can highlight where certain teams or individuals are consistently overloaded or where resources are waiting unnecessarily. This insight enables better workload balancing and more effective resource planning, improving utilization by 10-20%.

Certain types of changes or changes affecting specific services or systems may consistently experience more issues, delays, or rejections. This goal focuses on systematically identifying these problematic areas within Ivanti Cherwell to implement targeted improvements and prevent recurring issues. Success is measured by a reduction in issues associated with previously identified problematic change categories.ProcessMind allows for detailed filtering and analysis of change cases based on attributes like "Change Type" or "Affected Service/System". It can reveal which categories consistently exhibit longer cycle times, higher rework rates, or more deviations. This segmentation provides actionable intelligence to refine procedures, templates, or training for specific problematic areas, improving overall process health.

Lack of clear, real-time visibility into the status of ongoing changes in Ivanti Cherwell creates uncertainty, hinders proactive issue resolution, and impacts stakeholder communication. This goal aims to enhance transparency across the entire change lifecycle, ensuring all relevant parties have up-to-date information on progress. Success is measured by improved stakeholder satisfaction and reduced inquiries about change status.ProcessMind constructs an objective, data-driven map of every active change, showing its current state, next expected activity, and historical path. It provides insights into deviations and potential future bottlenecks. This comprehensive view allows for proactive management and clear communication, enabling stakeholders to see the exact status of any change request at a glance.

Excessive handoffs between teams or individuals in the change management process can introduce delays, communication errors, and accountability gaps. This goal aims to streamline workflows in Ivanti Cherwell by identifying and eliminating superfluous transfers of responsibility. Success is measured by a decrease in the number of handoffs and a corresponding reduction in overall cycle time.ProcessMind visualizes the complete journey of a change request, clearly showing all activity transitions and the resources involved at each step. It can identify patterns of frequent handoffs that do not add value or where multiple resources touch a change sequentially without clear benefit. By revealing these inefficiencies, ProcessMind helps redesign workflows to minimize handoffs and accelerate progress by 10-15%.

Ineffective post-implementation reviews mean missed opportunities to learn from successful changes and failures, preventing continuous process improvement. This goal aims to ensure that Ivanti Cherwell changes are consistently and thoroughly reviewed after deployment to capture lessons learned and validate outcomes. Success is measured by an increase in documented follow-up actions and improved future change success rates.ProcessMind can analyze the execution of post-implementation review activities, identifying if they are consistently performed, what their typical duration is, and if they lead to subsequent process adjustments. By linking review outcomes to actual change performance data, ProcessMind ensures that the review process is robust and impactful, driving a cycle of continuous improvement.

The 6-Step Improvement Path for Change Management

1

Download the Template
2

Export Your Cherwell Data
3

Upload Your Dataset
4

Analyze Your Process
5

Implement Improvements
6

Monitor Your Progress
1

Download the Template

What to do

Get the pre-configured Excel template designed for Ivanti Cherwell Change Management. This template ensures your data is structured correctly for analysis.

View Data Template Guide Download Template
Why it matters

A standardized data structure is crucial for accurate and efficient process mining, laying the groundwork for reliable insights.

Expected outcome

An Excel template specific to Ivanti Cherwell Change Management, ready for data population.

WHAT YOU WILL GET

Uncover Ivanti Cherwell Change Process Truths

ProcessMind visualizes your Ivanti Cherwell Change Management process, revealing hidden patterns and precise bottlenecks. Gain clear insights and data-driven recommendations to streamline your updates.
  • Pinpoint Change approval bottlenecks
  • Visualize actual change process flows
  • Identify root causes of delays
  • Measure impact of process improvements
Discover your actual process flow
Discover your actual process flow
Identify bottlenecks and delays
Identify bottlenecks and delays
Analyze process variants
Analyze process variants
Design your optimized process
Design your optimized process

TYPICAL OUTCOMES

What Organizations Achieve with Optimized Change Management

These outcomes showcase the tangible benefits organizations commonly realize when optimizing their Change Management process. By leveraging process mining analysis of Ivanti Cherwell data, organizations gain data-driven insights to streamline workflows and enhance efficiency.

0 % faster
Faster Change Approval

Avg. reduction in approval cycle

Process mining identifies bottlenecks and rework loops, streamlining the change approval process to accelerate critical IT changes.
0 % fewer
Fewer Rejected Changes

Decrease in change request rejections

By understanding root causes for rejections, organizations can improve initial request quality and reduce wasted effort on invalid changes.
0 % more
Higher On-Time Delivery

Increase in successful on-time changes

Pinpoint delays in planning and execution to ensure more changes are completed by their target dates, meeting critical service levels.
0 % higher
Stronger Compliance

Increase in process adherence and risk assessment

Process mining ensures risk assessments are consistently applied and identifies deviations from the documented change process, strengthening governance.
0 % fewer
Streamlined Handoffs

Reduction in excessive change ownership transfers

Visualize and eliminate unnecessary handoffs between teams, reducing delays and improving accountability for change requests.

Results vary based on the specific complexities of your Change Management process and the quality of your Ivanti Cherwell data. The figures presented here illustrate typical improvements observed across various implementations.

FAQs

Frequently asked questions

Process mining visualizes the actual flow of your change requests in Ivanti Cherwell, identifying bottlenecks, deviations, and rework loops. It helps you pinpoint exactly where delays occur, such as slow approvals or implementation issues, and quantify their impact. This provides data-driven insights to accelerate approvals, reduce rejections, and improve on-time completion rates.

You primarily need event logs from your Change Requests in Ivanti Cherwell. This includes the Case Identifier (Change Request ID), the Activity or Event Name (e.g., "Change Submitted", "Approval Requested", "Implementation Started"), and the Timestamp for each event. Additional attribute data, like change type, assignee, or risk level, enhances the analysis.

Initial insights can often be generated within a few weeks of successful data extraction and ingestion. A comprehensive analysis, including root cause identification and actionable recommendations, typically takes 4-8 weeks. This timeline can vary depending on data complexity and the specific scope of the analysis.

Yes, process mining is excellent for compliance checking. It can automatically compare your actual change processes against predefined rules and ideal process models, highlighting any unauthorized deviations or missing steps. This helps identify compliance gaps, such as changes bypassing required approvals or incomplete post-implementation reviews.

You can expect significant improvements such as accelerated change approval cycles by identifying and removing bottlenecks, a reduction in rejected change requests through better understanding of common failure points, and improved on-time change completion rates. It also leads to more standardized risk assessment and better resource utilization.

Data extraction typically involves using Ivanti Cherwell's reporting capabilities, database access, or API to export relevant event logs. The goal is to obtain a structured dataset containing the Change Request ID, event name, and timestamp for each step. Our experts can guide you through the secure and efficient extraction process.

The primary technical requirement is access to your Ivanti Cherwell system to extract historical change request data. This usually involves read-only database access or leveraging existing reporting tools. No direct system integrations are typically needed with Ivanti Cherwell itself for the process mining analysis, as it works with exported data.

While the underlying analysis is technical, the results are typically presented in intuitive visual dashboards and reports. Our process mining experts translate complex data into clear, actionable business insights. We work with your team to ensure you understand the findings and can drive effective process improvements.

Ensure 95% Change Success: Optimize Ivanti Cherwell Now

Eliminate bottlenecks, reduce risks, and achieve 95% change success.

Start Your Free Trial

No credit card required. Get started instantly.