What We
Do

01
Data & Tech from Scratch

Strategic planning

Define Strategy & Use Cases

What questions must your data answer?

  • Business objectives
  • Data maturity assessment
  • Roadmap & priorities
  • Added value assessment
  • Current data sources, tooling and skill gaps

Architecture Design

With this architectural blueprint, we will have a concrete design to guide your incremental build-out of a robust, scalable Data & Tech platform.

  • Logical Layering
  • Physical Architecture Patterns
  • Key Non-Functional Requirements
  • Design Principles & Best Practices

Data Governance

  • Trust & Quality
    Ensures stakeholders can rely on data for decisions.

  • Regulatory Compliance
    Meets GDPR, CCPA, HIPAA, requirements around privacy, retention, consent.

  • Security & Risk Management
    Defines who can see and change sensitive data.

  • Operational Efficiency
    Reduces duplication of effort, clarifies ownership, speeds up onboarding.

  • Trust & Quality
  • Policy & Standards
  • Organization & Roles
  • Processes & Workflows
  • Metadata Management
  • Data Quality & Controls
  • Security & Privacy
  • Data lineage
  • Automation
02
Data & Tech Integration

Platform integration

Connectivity

Getting Your Systems to Talk

  • Data Ingestion
  • Application APIs
  • Message Bus / Eventing
  • Database Connectors
  • File Transfer

Orchestration, Governance & Observability

Coordinating Data & Workloads, APIs, Security, Access Controls, Lineage, Auditing, Monitoring and Alerting

  • Workflow Engines
  • Enterprise Service Bus (ESB)
  • Integration Platform as a Service (iPaaS)
  • Containerised Microservices

Transformation & Enrichment

  • ETL/ELT Frameworks

  • Data Virtualisation

  • Master Data Management (MDM)

  • Model Context Protocol (MCP Servers)
  • Integration Architect
  • Point-to-Point
  • Event-Driven
  • Data Mesh Interfaces
  • Map Desired Flows
  • Automate & Monitor
03
Data & Tech Migrations

Data platforms

Types of Migrations

Assessment required

  • Data Migration
  • Schema Migration
  • Application Migration
  • Infrastructure Migration

Migration Phases & Activities

Assessment required

  • Assessment
  • Planning
  • Proof-of-Concept
  • Development
  • Testing
  • Cutover
  • Validation
  • Rollback (if needed)
  • Optimisation

Data Modeling

Sketch a Conceptual ER Diagram for one core domain.

Translate to a Logical Model with attributes and keys.

Implement a Physical Prototype in a warehouse, Data Lakehouse, etc,.

  • Conceptual Model
  • Logical Model
  • Physical Model