Case Study
Enterprise APM Transformation for a Global Insurance Leader
Client Profile
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Industry: Insurance & Financial Services
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Size: Multi-billion-dollar enterprise
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Users: Tens of thousands
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Objective: Implement ServiceNow APM, align to CSDM, modernize CMDB, enable portfolio rationalization
Executive Overview
A global insurance enterprise made a strategic decision to retire Orbus and consolidate Enterprise Architecture and portfolio data into ServiceNow. The goal was to enable cost transparency, portfolio rationalization, and executive-level decision support.
ConfigureTek ensured the migration was not just a data transfer — but a structural transformation built on a trusted, CSDM-aligned CMDB foundation.
The Challenge
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EA data housed in Orbus
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CMDB requiring stronger CSDM alignment
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Service Mapping and architecture data not fully reconciled
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Limited executive visibility into application cost and lifecycle
Retiring Orbus required precise class-model mapping and data integrity controls to prevent structural inconsistencies inside ServiceNow.
ConfigureTek’s Approach
1. Data & Governance Assessment
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Reviewed Orbus class models, CI structures, and metadata
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Conducted workshops with EA and CMDB teams
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Defined reporting and rationalization use cases
2. CSDM-Aligned Migration Strategy
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Designed detailed class mapping between Orbus and ServiceNow
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Reconciled EA data with Application Services and Service Mapping
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Remediated CMDB structural gaps prior to import
3. APM Implementation & Reporting
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Executed structured data migration
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Implemented ServiceNow APM
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Delivered executive dashboards for cost transparency and portfolio decisions
Results
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Unified Enterprise Architecture and CMDB in ServiceNow
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CSDM-aligned data model enabling trusted analytics
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Executive visibility into application portfolio health and cost
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Sustainable governance processes for ongoing data integrity
Outcome
The organization successfully retired legacy tooling and transitioned to a single, service-aware platform for enterprise architecture and portfolio management — delivering the structural foundation required for confident, data-driven executive decisions.










