Advisory Services
Data Strategy
& Governance.
We work with your executive and engineering teams to define a data strategy that is commercially grounded, technically executable, and aligned to regulatory requirements—from GDPR to CCPA. Our governance frameworks establish the people, processes, and tooling necessary to make your data a managed, trusted, and monetisable enterprise asset.
Core Capabilities
Data Maturity Assessment
Benchmarking your current data capabilities against the DAMA-DMBOK framework to identify capability gaps and prioritise investments with quantified business value.
Data Governance Operating Model
Design of the Data Governance Council, stewardship roles, policy libraries, and escalation workflows needed to enforce data quality and ownership at scale.
Master Data Management (MDM)
Implementation of golden-record architectures for critical entity domains—Customer, Product, Supplier—using hub-and-spoke or registry MDM patterns.
Regulatory Compliance Frameworks
Mapping of data flows against GDPR, CCPA, HIPAA, and sector-specific obligations, with automated policy enforcement and real-time audit trails.
Data Cataloguing & Lineage
Deployment of enterprise data catalogues (Alation, Collibra, OpenMetadata) with automated lineage capture from ingestion pipelines to business reports.
Data Quality Engineering
Embedding automated quality controls—profiling, validation, anomaly detection—directly into ETL/ELT pipelines using Great Expectations or dbt tests.
Our Methodology
Discovery & Landscape Mapping
A structured 4–6 week discovery sprint covering stakeholder interviews, data inventory workshops, architecture review, and regulatory obligation mapping to produce a baseline capability report.
Strategy Blueprint
A multi-year data strategy roadmap with OKRs, initiative sequencing, technology recommendations, and an operating model design—ready for Board and C-suite sign-off.
Governance Activation
Establishment of the governance council, policy library, and data stewardship workflows. Tooling deployment and integration with existing catalogues, BI platforms, and ITSM systems.
Monitor & Iterate
Ongoing quality dashboards, KPI tracking against the data strategy OKRs, and quarterly review cycles to adapt the programme as business priorities evolve.
Measurable Outcomes
30–50% reduction in data incident resolution time through clear ownership and escalation paths.
GDPR/CCPA compliance posture hardened with automated data-subject request workflows and audit logs.
Single-source-of-truth master data reducing duplicate customer records by an average of 22%.
Data quality scores exceeding 95% across critical domains, measured and published in real-time.
Data strategy with clear ROI modelling enabling confident capital allocation for the next 3 fiscal years.
Ready to build a world-class Data Strategy?
Let's architect a solution built precisely for your enterprise requirements.