EA - Technology & Platform Readiness

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​