Our Modelling Capabilities
Conceptual Data Models
Define key business entities and relationships to build a unified perspective of enterprise data requirements across all functional units.
Logical Data Models
Detailing attributes, keys, and normalization to translate business requirements into a structured blueprint independent of technology.
Physical Data Models
Engineering high-performance, stable schemas to maximize speed, ensure data integrity, and guarantee platform reliability.
Enterprise Data Models
Building a unified, integrated view of all organizational data assets to drive consistency across silos and business units.
Data Warehouse & Analytics Modelling
Enterprise Data Warehouse (EDW)
Centralize fragmented data into a unified EDW to secure a single version of the truth. This strategic foundation empowers large-scale organizations to drive high-impact decisions with precision.
Operational Data Store (ODS)
Our ODS designs provide an agile data layer for immediate operational reporting with the lowest possible latency.
Data Marts & Dimensional Modelling
We design Star and Snowflake schemas to streamline self-service BI and accelerate complex analytics, providing intuitive data structures that empower business users to gain rapid, reliable insights.
Data Vault & Scalable Architectures
We deploy Data Vault 2.0 to ensure your architecture remains infinitely scalable and agile. This modular approach guarantees long-term adaptability for evolving enterprise requirements.
Modern Data Modelling
Databricks & Lakehouse
We specialise in Databricks architecture, designing Lakehouse environments that combine the best of data warehouses and data lakes for high-performance analytics.
Domain Models & Data Products
Transitioning from monolithic models to decentralized domain-driven design and data products, empowering business units while maintaining governance.
Semantic Models
Enabling a shared understanding of business entities across the enterprise with robust semantic layers that bridge the gap between technical data and business insight.
Enterprise & Integration Modelling
We bridge the gap between disparate systems using advanced integration modelling techniques that facilitate seamless data flow and architectural consistency across the enterprise landscape.
- Canonical Data Models: Standardised data exchange formats across the entire organisation.
- Integration Architecture: Designing robust patterns for ETL, ELT, and real-time streaming.
- Master & Reference Data: Establishing a 'single source of truth' for shared business entities.
- Source-to-Target Mapping: Detailed logical mapping for migration and modern integration use cases.
Industry & Reference Data Models
DCS Itech brings deep expertise in IBM Industry Models and Teradata Industry Data Models. We help you leverage these world-class blueprints as a foundation for your enterprise architecture, ensuring a fast-start with proven industry standards.
Start with industry knowledge. Adapt it to your enterprise.
- Identify core business concepts from industry standards
- Map enterprise-specific requirements to reference models
- Extrapolate unique business products and services
- Establish a common business language across the firm
Modernise the technology. Preserve the business knowledge.
Industry models represent decades of business wisdom. Our approach ensures that when you migrate to modern platforms like Databricks or Lakehouse architectures, you retain the critical business semantics and logic embedded within these world-class models.
Model-Driven Modernisation
We leverage model-driven techniques to accelerate the modernisation of legacy data estates. By harvesting metadata and models from legacy systems, we create a clear path to modern architectures like Databricks Lakehouse, ensuring business logic is preserved and validated throughout the transition.
Legacy Estate Harvesting
Reverse engineering and harvesting metadata from mainframe, DB2, and legacy EDW models to document 'as-is' business rules before migration.
Structural Transformation
Automated conversion of legacy DDL and PowerDesigner models into modern, governed erwin models ready for target platform implementation.
Databricks Architecture
Design of Lakehouse architectures including medallion structures (Bronze, Silver, Gold), Unity Catalog integration, and domain data products.
Quest / erwin Data Modelling
DCS Itech is a Quest Edge Partner/erwin Data Modelling solutions. We provide deep technical expertise in managing complex metadata and ensuring architectural consistency across the enterprise.
PowerDesigner to erwin Migration
- Automated metadata extraction and transformation
- Preservation of business logic and physical schema details
- Validation of migrated objects against target erwin environments
- Post-migration optimisation and standards alignment
Where Enterprise Data Modelling Creates Value
01
Discover
02
Define
03
Model
04
Validate
05
Implement
06
Govern
Shared Enterprise Blueprint
Align corporate and IT goals using a premium data framework as the primary source of truth.
Accelerated Analytics
Streamline the path from raw data to actionable insights through structured dimensional and data vault modelling for modern Warehouses.
Modernisation Readiness
Bridge legacy systems and cloud-scale architectures like Databricks Lakehouse with robust, future-ready architectural transitions.
Operational Consistency
Enforce master data standards and canonical integration patterns across the enterprise to ensure regulatory compliance and reliability.
Why DCS Itech
- Specialist expertise in complex UK enterprise and government environments.
- Quest Edge Partner /erwin Data Modeler and Databricks partnership for seamless technology integration.
- Over 15 years experience delivering robust data architecture and modelling solutions.
- Proven methodology for migrating legacy systems to modern cloud data platforms.