CMDB Consulting

Configuration Management Database (CMDB)

CMDB is the single most consequential dataset on a ServiceNow platform. Get it right and ITSM, ITOM, SecOps, ITAM, and GRC all become more credible. Get it wrong and every adjacent program spends time arguing with bad data instead of using it.

Why it matters

Most CMDBs do not fail loudly; they drift. Discovery has gaps no one is closing. Ownership is documented in fields no one updates. Class structure was decided by a project team that has long since rolled off. Six months later, the CMDB is technically populated and operationally untrusted.

A working CMDB is not the largest CMDB; it is the most useful one. Coverage is right-sized. Class structure aligns with CSDM. Discovery, integrations, and data-source designations are unambiguous. Ownership is real and reviewed.

When CMDB is healthy, change risk becomes computable. Security incidents arrive with context. Asset reconciliation tightens. ITSM ticket routing improves. The compounding effect is real and measurable.

When it is unhealthy, every program above it pays a tax — often invisibly, until something breaks. We work CMDB with that compounding effect in mind.

How Amazon Consulting helps

A CMDB engagement that delivers value is precise about scope, deliberate about data sources, and unromantic about coverage. We are all three.

01

Health & scope

Assess existing CMDB state: class coverage, freshness, ownership, integration health. Define what coverage actually needs to look like for your business.

02

Model & data

Align class structure with CSDM. Designate authoritative sources for each class. Resolve conflicts before they become drift.

03

Discovery & integration

Get Discovery working as the spine. Integrate Cloud, EDR, SAM, and HR feeds with discipline. Reconciliation rules that hold up over time.

04

Operate & govern

Stand up CMDB governance: ownership reviews, freshness metrics, and the cadence that keeps the data trustworthy after the project ends.

Recent engagements

Recent CMDB work has clustered around three patterns: rescuing CMDBs where Discovery never finished, aligning sprawling class structures with CSDM, and standing up the governance that keeps the data trustworthy after the consulting team leaves. Specifics under NDA.

Request relevant case studies →

Related services

Make CMDB the dataset everyone trusts.

A focused CMDB engagement compounds across every adjacent program. We can scope a realistic 90-day plan around the gaps that matter most.