EA - Technology & Platform Readiness

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.

EA - Technology & Platform Readiness​