Key Highlights
Motadata ServiceOps CMDB keeps the configuration record and asset record from quietly disagreeing, delivering one source of configuration truth the service desk can rely on by design, not manual discipline.
The model matches the real estate, not a generic schema.
Standard high-level types: Hardware, Software, Service, and Network.
Custom sub-types nested beneath each, with their own form, custom fields, and validation rules.
The estate is never forced into a one-size schema.
The functional view and the financial view never drift apart.
Operational, Non-Operational, In Maintenance, and Retired statuses map to asset statuses bi-directionally.
Change a CI's status and the linked asset follows, and vice versa.
CI process monitoring for Server, Desktop, Laptop, and Sub-CI types.
No duplicate data entry, no reconciliation backlog.
Automatic asset creation by rule upon CI creation.
CI fields map onto asset fields by condition groups and rule priority the team controls.
Technicians find what they own, and sensitive changes stay accountable.
Organize CIs into groups for ownership and access control.
CI Custom Rules enforcement: manual-update controls and approval gating on sensitive hardware, software, and asset fields.
Control CI access by role and access level, backed by a full audit trail.
Intelligence
A CMDB earns its keep only when people believe it. The trouble starts quietly: ->A server is taken down for maintenance but its CI still reads Operational. ->An asset is retired but its CI lingers. ->A field is updated on one record and never on the other.
Each divergence is harmless alone, but together they teach technicians the CMDB is "mostly right," so it stops being used for the impact analysis, root-cause tracing, and change review it was built for. Manual reconciliation can't keep pace with a changing environment, and the gap only widens.
ServiceOps closes that gap by design, not discipline. Status changes propagate between CI and asset automatically, new CIs spawn their assets through Sync Rules instead of a second round of data entry, and sensitive changes pass through manual-update rules and approval gates rather than slipping in unnoticed.
How It Works
Classify components under Hardware, Software, Service, and Network types, with nested custom sub-types.
Build dedicated forms per CI type with system fields, custom fields, and validation rules.
Add custom fields to CI type properties for consistent tracking.
Manage statuses (Operational, Maintenance, Retired) mapped to bi-directional asset sync.
Define Sync Rules to auto-create assets on CI creation using priority-ordered field mappings.
Group CIs with assigned owners and enforce CI Custom Rules and approval controls on updates.
Role-Based Value
A configuration record leadership can rely on for service decisions, kept accurate by design rather than by manual discipline.
A configuration record leadership can rely on for service decisions, kept accurate by design rather than by manual discipline.
Reconciliation work disappears: sync rules auto-create assets and statuses flow between the asset and CI records, so the team stops maintaining two versions of one truth.
Reconciliation work disappears: sync rules auto-create assets and statuses flow between the asset and CI records, so the team stops maintaining two versions of one truth.
The model fits the estate through nested CI types and per-type forms, instead of forcing the environment into a generic schema.
The model fits the estate through nested CI types and per-type forms, instead of forcing the environment into a generic schema.
Incidents, problems, and changes draw on configuration data accurate enough to act on, so the record opened reflects the live environment.
Incidents, problems, and changes draw on configuration data accurate enough to act on, so the record opened reflects the live environment.
From Visibility to Control
One source of configuration truth technicians trust, because the record reflects the live environment rather than a snapshot that aged out.
Automatic asset-CI consistency, with status changes and field mappings flowing between the two records instead of being reconciled by hand.
A model that fits the estate, through nested CI types and per-type forms rather than a one-size schema.
Service-aware IT, where incidents, problems, and changes draw on configuration data accurate enough to act on.
Governed, accountable change, with manual-update rules and approval gates protecting the records that matter most.
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