Essential Six
The Essential Six
Driving Sustainable Data Value and AI Readiness
The Essential Six represent the core capabilities necessary to transform your data into a sustainable, strategic asset. Our advisory core services span the entire data lifecycle, supporting business demand for Advanced Analytics, Data Science and AI enabled services.
Data Advisory
Unlock the potential of your data?
We help organisations turn data into a strategic advantage by:
- Reviewing current data management practices against agreed standards and industry benchmarks
- Shaping a data strategy that aligns to business goals and improves key performance metrics
- Building a practical roadmap for data-driven transformation
- Recommending the operating model and ways of working that best support your outcomes
Data Architecture
Making data organised, scalable, and easy to use
We design data architectures that are robust today and ready for what’s next, including:
- Enterprise-wide or solution-specific data architecture
- Scalable, efficient platform and pipeline designs
- Architecture and design for data migration technologies
- ETL/ELT approaches to create conformed, reliable data states and power downstream use cases
Data Governance
Building trust, compliance, and data maturity
We help establish strong governance foundations, so data is reliable, controlled, and fit for purpose:
- Defining current and target governance states, with gap analysis and maturity steps
- Setting governance strategy, engagement approach, frameworks, and policies
- Designing data quality standards and management processes
- Ensuring compliance with regulatory requirements (e.g., GDPR, Basel III, KYC, SOOCS)
- Embedding business-driven use cases into governance models during implementation
Data Science & Analytics
Turning data into insight and action
We apply advanced analytics to help organisations make smarter decisions and build predictive capability:
- Data science experimentation and hypothesis testing
- Natural language processing and computer vision expertise
- Data mining and pattern recognition for deeper insights
- Predictive modelling and machine learning
- Risk analytics and customer segmentation models
- Visualisation, reporting, and decision-support dashboards
- Custom model and algorithm development
Data Migration
Moving data safely to modern platforms
We plan and deliver migrations that protect data integrity and reduce risk:
- Discovery-led migration architecture, including cut-over options
- Proven methods to maintain consistency, transparency, and full data traceability
- Consolidating multi-source data into unified platforms before migration
- Defining and implementing a Common Data Model (CDM) to ensure success
- Designing for rollback and recovery, recognising multiple architectural components impact outcomes
Data Integration
Connecting your organisation’s data
We build integration architectures that support real business needs:
- Defining the use cases the integration must enable
- Selecting the right integration patterns and principles
- Designing batch, near real-time, and real-time integration models with 24/7 integrity, auditability, and event replay
- Ensuring security, privacy, and compliance while meeting evolving regulatory mandates