We evaluate existing IT systems, data sources, and integration points to determine how best to leverage ServiceNow’s capabilities for EA. This includes defining a scalable data model, integration touchpoints, and migration paths that pave the way for advanced analytics and automation.​

Business Problem

Fragmented tools and manual data handling hamper the organization’s ability to gain real-time insights, leading to duplication of efforts, unreliable data, and an inability to scale the EA practice effectively.​​​

Pre-Conditions

• Openness to consolidating tools or introducing new platform solutions.​
• Understanding of major data sources (financial, operational, risk) that feed into EA.​
• Leadership agreement on the importance of a unified EA data repository.​​​

Common Pitfalls

• Over-customizing the platform, increasing maintenance and upgrade difficulties.​
• Poor data integration strategies, resulting in incomplete or inconsistent records.​
• Neglecting platform security and compliance considerations upfront.​​​​​

Value Journey

• SmartStart: Basic single system of record with minimal customizations. Start with core data fields and stable processes for data entry.
• Walk: Incorporate more manual data, focusing on rationalization metrics (cost, usage, risk). Basic integration with existing systems (e.g., finance).​​​
• Run: Enhanced platform configuration to support relationships among applications, projects, and demands. Automated data flows from multiple sources (ITSM, ITOM, financial systems).​​​
• Fly: Advanced analytics layer with trend analyses, forecasting modules, and tightly integrated demand processes. Seamless real-time data updates across the enterprise.​

Service Offering

SmartStart:

• Initial platform assessment and foundational configuration.​
• Data architecture outline focusing on essential fields (ownership, lifecycle).​
• Light integration or import routines for basic application data.

Walk:

• Broader data model including cost/risk/usage fields.​
• Simple integration with finance or other key systems (manual or scripted).​
• Validation processes to maintain data quality.​

Run:

• Complex data relationships modeled within ServiceNow.​
• Automated integration from multiple data sources (e.g., CMDB, Demand Management).​
• Custom dashboards and analytics for multi-objective rationalization.

Fly:

• Advanced real-time data ingestion and monitoring.​
• Predictive analytics or AI-assisted insights for continuous improvement.​
• Flexible configuration to support ongoing architectural evolution.

Why Capture?

• Technical & Functional Know-How: We unite governance and technology, creating a balanced platform adoption.​
• Scalable Solutions: Our designs support growing data volume and complexity without crippling performance.​
• Risk Mitigation: Our readiness assessments and integration strategies minimize disruptions and ensure secure growth.​​​