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Status Planned for future release
Created by Guest
Created on Aug 5, 2026

Self serve dashboard creation in AIOps UI

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Many existing Netcool Operations Insight (NOI) customers rely on the ability to create and customise operational dashboards using drag-and-drop widgets and alarm filter conditions. This capability allows individual operations teams to quickly develop dashboards tailored to their monitoring, incident management, and operational visibility requirements without requiring specialist development resources.

Following migration from NOI to IBM Cloud Pak for AIOps, users no longer have access to an equivalent self-service dashboard capability. Currently, creating custom dashboards requires the use of Cognos or the Dashboard Toolkit, both of which demand technical expertise, development effort, and deployment activities.

As organisations onboard additional operational teams, each request for a customised dashboard results in dependency on delivery teams and increases ongoing implementation and maintenance costs. This creates a barrier to adoption and reduces operational agility compared to the NOI experience.

Proposed Enhancement

Introduce a native self-service dashboard builder within the AIOps user interface that enables authorised users to:

  • Create and manage dashboards through a drag-and-drop experience.
  • Configure and arrange dashboard widgets without coding or deployment activities.
  • Build views based on alarms, events, stories, insights, topology, and other AIOps data sources.
  • Apply custom filter conditions and save team-specific dashboard configurations.
  • Share dashboards with designated user groups or teams.
  • Manage dashboard permissions through role-based access controls.

The experience should provide functionality similar to the legacy NOI dashboard framework while leveraging modern AIOps data sources and capabilities.

Business Benefits

  • Reduced operational costs by eliminating the need for development resources to create and maintain team-specific dashboards.
  • Faster time-to-value for new operational teams adopting AIOps.
  • Increased user adoption through a familiar and intuitive dashboard creation experience.
  • Greater operational agility by enabling teams to rapidly adapt dashboards to changing monitoring and business requirements.
  • Reduced dependency on platform administrators and delivery teams for routine dashboard requests.
  • Improved operational visibility through team-specific, role-based visualisations built by the end users who consume them.

Expected Outcome

By providing a native self-service dashboard capability, IBM AIOps can offer feature parity with a highly valued NOI capability while significantly improving the user experience for organisations transitioning to AIOps. This enhancement would empower operations teams to independently create and maintain their own visualisations, reducing delivery overhead and accelerating platform adoption across the enterprise.

Idea priority High