Secure. Compliant. Scalable Data & AI Architecture
The Data-verse at your fingertips
Helping organisations unlock the full value of their data through modern architectures, governance, and Generative AI.
Helping organisations unlock the full value of their data through modern architectures, governance, and Generative AI.
We design and deliver data platforms that are secure, compliant, and scalable. From conceptual modelling to implementation, we help clients modernise their data foundations with:
Generative AI is transforming how data is analysed, modelled, and delivered. We embed GenAI into every stage of the lifecycle to accelerate delivery and reduce risk:
We ensure your data estate meets the highest standards for governance and regulation. Our frameworks are proven in highly regulated sectors such as finance, healthcare, and central government.
Moving to the cloud is more than just a migration — it’s an opportunity to redesign for scale and agility. We specialise in cloud-native solutions across the big three platforms:
We help clients shorten transformation timelines, rationalise reporting estates, and ensure new platforms deliver measurable business value.
Beyond technical delivery, we work as trusted advisors to CIOs, CTOs, and senior stakeholders. With over two decades of experience, we bring:
At iTeQ Consulting, we specialise in turning complex, multi-source data into business-ready insights. With 20+ years of experience delivering enterprise-scale data programmes across government and private sector organisations, we help clients:
HMRC
Built an enterprise platform on Azure Databricks & Unity Catalog, embedding data mesh principles and a GenAI-driven intelligence platform.
bet365
Compressed 3,500 SQL reports into 350, cut migration timelines from 4 years to 18 months, and delivered a blueprint for global data asset management.
NHS Staff Bank
Architected a unified data bank on Salesforce infrastructure, ensuring nationwide scalability and compliance.
Challenge: HMRC needed a scalable platform to unify council tax data, ensure compliance, and prepare for future AI-driven initiatives.
Solution: Designed and delivered an Enterprise Data Platform on Azure Databricks and Unity Catalog. Embedded Data Mesh principles and Medallion architecture, and implemented a Generative AI–driven Data Intelligence Platform to enhance security and insights.
Result: A governed, scalable foundation for advanced analytics and future enterprise-wide initiatives, delivering strategic value across HMRC.
Challenge: A 4-year Google Cloud migration programme was stalled, with 3,500 legacy SQL reports causing complexity and inefficiency.
Solution: Applied Business Event Analysis Modelling (BEAM) to rapidly capture requirements. Rationalised the reporting estate, designed the Enterprise Data Model, and defined the migration path to GCP.
Result: Reduced migration from 4 years to 18 months and compressed reports 10:1 (3,500 → 350). Established a reference blueprint for enterprise data asset management with global applicability.
Challenge: The NHS needed to unify workforce data across the UK to ensure scalability, accessibility, and compliance.
Solution: Architected a national Staff Data Bank on Salesforce infrastructure, applying conceptual and logical data modelling to guarantee quality and governance.
Result: Delivered a unified, compliant, and scalable platform supporting integration across nationwide NHS services.
Challenge: Critical systems lacked measurable standards for data quality, creating compliance and operational risks.
Solution: Designed a configurable Data Trust Index and scorecard, embedding DAMA principles into Enterprise Architecture standards and governance.
Result: Enabled the Home Office to identify and address underperforming systems, strengthening both compliance and operational decision-making.
Challenge: DEFRA required a data model to support UK-wide waste tracking and new plastic packaging tax regulations.
Solution: Defined conceptual and logical data models using Sparx, including a comprehensive data dictionary and business glossary.
Result: Provided a scalable, regulatory-compliant data foundation supporting critical environmental and tax reporting initiatives.
Challenge: Multiple data sources were siloed, making compliance and advanced analytics difficult.
Solution: Implemented a Databricks ETL Mesh feeding into a warehouse of data marts, enriched with metadata and advanced reporting via Synapse Analytics and ML.
Result: Delivered a compliant, insight-driven reporting environment, strengthening business decision-making.
Challenge: Control Risks needed to quantify and analyse insurance risk across diverse sources.
Solution: Built a Dimensional Data Warehouse model integrated with Master Data Management and an Enterprise Data Catalogue.
Result: Delivered enhanced, KPI-driven business insights, improving risk management decisions.
iteqconsulting