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EA Goals and Objectives - Coggle Diagram
EA Goals and Objectives
C) Technology and Risk Management
Reducing costs
Application rationalization – 15% on run costs
License optimization – 30% on licensing costs
Vendor consolidation – 22-28% on total cost of ownership (TCO)
Use collaboration tool – 20-25% productivity increase
Searchable records – 35% of time searching for information
Data and interface consolidation opportunities
Standardization and reduction of redundancy
Reduction of redundant data maintenance
Reducing risks
Avoid IT incidents – 50,000 – 500,000 SAR per incident
Be compliant – 60% lower costs than non-compliance
Better understanding of the application landscape’s functional and technical risk profile
Better data management, additional securing of highly interdependent applications
Understanding of the impact and compliance to technology lifecycle management
Understanding of data qualifications and their impact
Avoiding dependency on a single vendor
Improved project and investment decisions
Increasing agility
Effective knowledge sharing – get ahead of 100% of insurance companies
Systematic complexity management – increase EBIT by 3-5%
Better support of business demands
Faster start of integration projects
Supporting business capabilities quickly using defined standards and reusable patterns
Information alignment and re-use according to business needs
Optimizing the service portfolio for better service levels
Improved speed in investment and project planning and execution
A) Business Transformation Management
Organizational Transformation
Management Transformation
Cultural Transformation
Digital Transformation
Information Systems Transformation
Transformation of Business Processes
B) Application Portfolio Management
Enable cloud native strategies
Mitigate security and compliance vulnerabilities
Optimize cloud and hybrid costs and resources
Upgrading processes with lean principles and the Technology Business Management (TBM) framework
Secure the adoption of strategic platforms with holistic insights using powerful reporting
Reduce IT complexity and improve efficiency
Promote collaboration between business and IT to react faster to business needs
Rationalize application costs and lower total cost of ownership
Improve IT visibility and control across scaling hybrid cloud environments
Prioritize IT projects
Strengthen business processes by uncovering technological gaps and data redundancies
Map data flows and application dependencies
Manages data holistically, from governance FWs to architecture alignment, impact assessment, and tool integration.