Data product strategy
Align priority domains, consumers, ownership, service levels and value metrics.
Trusted foundations
Modern data products, master data management and governance designed for the pace and control that intelligent enterprises require.

Your AI ambition is constrained by the context it can trust. We make data usable, governed and ready for decisions and automation.
Align priority domains, consumers, ownership, service levels and value metrics.
Create consistent supplier, material, customer and organisational entities across systems.
Engineer cloud data services and semantic layers that are secure, observable and cost-aware.
Apply lineage, access, quality and policy controls to the context used by models and agents.
Create an accurate and authoritative source for materials, suppliers, products, customers, accounts and locations across ERP, MRP and EAM environments.
Classify, normalise, enrich and de-duplicate records across systems, geographies and languages.
Improve part descriptions, technical attributes, units of measure, stocking codes and specification completeness.
Use guided requests, configurable workflows and duplicate checks to prevent poor-quality data entering at source.
Improve search and personnel productivity, reduce stock-outs and inventory costs, strengthen compliance and increase ERP value.
Flexible data operations and analytics support that improve quality, delivery speed and adaptability without adding unnecessary internal overhead.
Process high-volume data with validation, standardisation and quality controls for accuracy, consistency and completeness.
Turn complex datasets into clear charts, executive presentations and narratives that support decisions.
Design interactive, intuitive views for monitoring KPIs, analysing trends and acting on exceptions.
Deliver trusted, timely information; remove waste across the data supply chain and adapt services as business needs change.