Comprehensive Data
Architecture Solutions
From enterprise-wide architecture design to detailed database optimization, we provide complete services for complex data challenges.
Return HomeOur Service Approach
We apply systematic methodologies to architecture engagements, combining industry frameworks with practical experience from numerous implementations.
Discovery and Assessment
We begin every engagement with thorough assessment of current state architectures, existing systems, and business requirements. This discovery phase establishes baseline understanding and identifies specific challenges requiring attention.
Architecture Design
Based on assessment findings, we develop comprehensive architectures addressing identified gaps. Designs include multiple abstraction levels, from high-level conceptual models to detailed physical implementations.
Implementation Support
We guide implementation teams through execution phases, providing clarification, addressing technical challenges, and ensuring consistency with architectural decisions. Regular reviews verify alignment with documented designs.
Methodology Foundation
Our services are grounded in established architecture frameworks and data management principles. We apply TOGAF for enterprise architecture initiatives, DAMA-DMBOK for data management practices, and industry-specific standards where relevant. This foundation ensures our work reflects proven approaches while allowing customization to organizational context. All deliverables follow standard notation and documentation conventions, facilitating long-term maintainability and knowledge transfer.
TOGAF Framework
DAMA-DMBOK
Security Standards
Compliance Frameworks
Service Offerings
Each service addresses specific aspects of data architecture, from strategic planning to tactical implementation.
Enterprise Data Architecture Design
Develop comprehensive data architecture blueprints that align technology investments with business strategy. Our design process begins with thorough assessment of current state architecture, identifying strengths, weaknesses, and modernization opportunities. We create future state architectures that balance innovation with pragmatic implementation paths.
Key Components:
- Current state assessment with system inventory and data flow analysis
- Future state architecture including storage, integration, and governance frameworks
- Technology selection considering capabilities and scalability requirements
- Implementation roadmap with phased approach and clear milestones
Data Modeling and Database Design
Create optimized data models that support efficient operations while maintaining flexibility for future needs. Our modeling approach balances normalization with performance requirements, creating structures that minimize redundancy while ensuring query efficiency. We develop models at conceptual, logical, and physical levels.
Key Components:
- Conceptual models capturing business entities and relationships
- Logical models defining attributes, constraints, and business rules
- Physical database implementation optimized for specific platforms
- Performance testing and validation under realistic workloads
Master Data Management Implementation
Establish single sources of truth for critical business entities through comprehensive master data management solutions. We identify master data domains requiring centralized management, design hierarchies and relationships between entities, and implement matching and merging algorithms for data consolidation.
Key Components:
- Master data domain identification and hierarchy design
- Data quality rules and workflow systems for governance processes
- Integration architecture synchronizing master data across systems
- Stewardship programs and governance councils for ongoing management
Service Comparison and Selection
Each service addresses different architectural concerns. Understanding these distinctions helps identify the most appropriate solution for your specific situation.
| Feature | Enterprise Architecture | Data Modeling | Master Data Management |
|---|---|---|---|
| Primary Focus | Strategic data architecture across enterprise | Database structure and optimization | Critical data consistency and quality |
| Scope | Organization-wide systems and data flows | Specific databases and data structures | Master data entities and governance |
| Deliverables | Architecture blueprints, roadmaps, standards | Data models, schemas, documentation | MDM solution, quality rules, workflows |
| Timeline | 8-12 weeks typical engagement | 4-8 weeks depending on complexity | 6-10 weeks for implementation |
| Best For | Strategic transformation initiatives | New systems or database optimization | Data quality and consistency issues |
| Investment | €7,800 starting | €5,400 starting | €6,900 starting |
Selection Guidance
Choose Enterprise Architecture if:
- You need strategic direction for data initiatives
- Multiple systems require integration planning
- Technology stack modernization is planned
- Governance frameworks need establishment
Choose Data Modeling if:
- Database performance requires optimization
- New applications need database design
- Analytics platforms require dimensional models
- Database migration is under consideration
Choose Master Data Management if:
- Data quality issues impact operations
- Critical entities lack single source of truth
- Data duplication causes inconsistencies
- Compliance requires data governance
Tools and Technologies
We utilize industry-standard tools and platforms for architecture documentation, modeling, and implementation support.
Modeling Tools
Enterprise Architect, Sparx Systems EA, and ERwin for comprehensive data modeling across conceptual, logical, and physical levels.
Architecture Frameworks
TOGAF ADM for enterprise architecture, Zachman Framework for organizing artifacts, and DAMA-DMBOK for data management.
Database Platforms
Expertise across Oracle, PostgreSQL, SQL Server, MySQL, and NoSQL platforms including MongoDB and Cassandra.
Cloud Services
AWS, Azure, and Google Cloud data services including managed databases, data warehouses, and analytics platforms.
Version Control
Git-based repositories for architecture documentation and model versioning. Change tracking for all design artifacts.
Analytics Platforms
Snowflake, Redshift, BigQuery for data warehousing. Power BI and Tableau for visualization and reporting.
Security Tools
Data encryption solutions, access control frameworks, and audit logging systems for comprehensive security implementation.
Integration Platforms
API management tools, message queues, and ETL platforms for designing robust integration architectures.
Service Packages and Combinations
Many organizations benefit from combining multiple services for comprehensive data architecture transformation.
Foundation Package
Enterprise Data Architecture Design combined with Data Modeling provides comprehensive coverage from strategic planning to tactical implementation. This combination establishes architectural direction while ensuring critical databases are properly structured.
Quality Assurance Package
Data Modeling combined with Master Data Management ensures both structural optimization and data quality governance. This combination addresses technical database design while establishing processes for maintaining data accuracy and consistency.
Complete Transformation Package
All three services provide end-to-end coverage from strategic architecture through database optimization to data governance. This comprehensive approach addresses architecture at all levels, ensuring consistency from enterprise strategy to operational implementation.
Governance and Control Package
Enterprise Data Architecture Design with Master Data Management provides strategic direction combined with data quality governance. This combination establishes architectural frameworks while implementing processes ensuring data accuracy and consistency across systems.
Custom Service Combinations
We can tailor service combinations to address your specific requirements and constraints. Contact us to discuss which services would provide the most value for your particular situation. Our assessment process helps identify the optimal approach for your data architecture needs.
Ready to Begin Your Architecture Initiative?
Contact us to discuss your data architecture requirements and explore which services would be most appropriate for your situation.
Start a Conversation