Data Foundation

Every ServiceNow capability depends on data you can't trust

The solution

From incident management to vulnerability response to operational resilience, every ServiceNow capability depends on accurate CMDB data. When configuration items are stale, duplicated, or missing, impact analysis fails, change management becomes guesswork, and risk teams can't trust assessments. Pulsar implements CMDB health and data quality frameworks aligned to ServiceNow's Common Service Data Model (CSDM). We establish data governance processes, configure automated discovery integrations, build reconciliation rules, and implement ongoing health monitoring that keeps your data foundation trustworthy as your environment evolves.

Practice

AI & Data Analytics

The foundation accelerator powering intelligent automation, predictive insights, and data-driven decisions across every practice.

Outcomes

What you can expect

01

CSDM-aligned CMDB architecture providing a single source of truth for all assets and services

02

Automated discovery integration delivering current, accurate CI data without manual maintenance

03

Data quality dashboards monitoring completeness, accuracy, and currency across CI classes

04

Reconciliation rules preventing duplicate CIs whilst preserving manually enriched data

05

Impact analysis and service mapping that teams can actually trust for change and incident management

06

Foundation layer enabling AI, analytics, and automation to operate on trustworthy data

Delivery journey

From first assessment to full velocity

Assess

Assess current CMDB health — completeness, accuracy, staleness, and CSDM alignment gaps.

Foundation

Design target CSDM architecture with CI class mapping, relationship models, and governance processes.

Enhance

Configure discovery integrations, reconciliation rules, and automated health monitoring.

Optimise

Establish ongoing governance cadences and data stewardship processes for sustainable quality.

Bring CMDB & Data Quality to your platform

We'll show you exactly what good looks like — with the people who've delivered it before.