DATA AND ANALYTICS SERVICES
Enterprise data and analytics services
We connect your data, platforms and reporting so your teams can make decisions with confidence and build AI on a governed foundation.
Why your reports disagree.
Different definitions, disconnected systems and unclear ownership leave teams reconciling reports instead of using them.
We connect those foundations with tested pipelines, shared definitions and clear ownership. Quality checks and lineage help your teams understand where a number came from and whether it is ready to use.
Data and analytics services, from strategy to delivery.
Data and cloud transformation
The strategy, migration, and operating model to move off legacy warehouses onto a modern data cloud.
EXPLORE02Data and analytics services
Engineering, streaming, and self-service reporting that turn raw data into decisions.
EXPLORE03Infrastructure and platforms
The lakehouse, open table formats, and platform that everything else is built on.
EXPLORE04BI and visualization
Dashboards and semantic models people actually believe and act on.
EXPLOREFind your next step.
Start with the stage that best describes your data estate. We help you choose the next practical investment.
Fragmented
A warehouse, three lakes, a dozen SaaS tools, and a spreadsheet nobody will give up.
NEXT MOVELand one governed foundation and a single high-value use case first.
Consolidated
Raw through curated data lives in one open lakehouse on your cloud.
NEXT MOVEAdd medallion refinement in Spark and dbt, tested and versioned.
Governed
Catalog, lineage, quality, and data contracts run as controls, not policy.
NEXT MOVEPublish a shared semantic layer so BI and AI use one definition.
Trusted
Teams share consistent definitions and can trace reported figures to their sources.
NEXT MOVEServe features and vector stores; make the foundation AI-ready.
Compounding
New analytics and AI use cases ship on shared, governed IP.
NEXT MOVEPortfolio-level value management and responsible scaling.
If you are unsure where to start, a data strategy engagement helps establish a shared baseline.
A team that stays with your platform.
The reason our platforms hold is the way we deliver them. Through our Global Capability Centre and dedicated-team model, you get a persistent, embedded group of data engineers, platform architects, and analytics specialists who compound knowledge of your systems over time.
We work on your stack and alongside your teams, retaining the context needed to operate and improve the platform. The same governed data supports your enterprise AI work through Greenlight.
Different industries. Different data priorities.
Regulation, data sensitivity, and legacy estates shape every build.
Know where your data came from.
A data catalog so every dataset has a defined steward and explicit ownership.
End-to-end lineage from any reported figure back to the record behind it.
Automated quality checks and data contracts between producing and consuming teams.
Permissioned access to documented data, with controls that also apply to AI workloads.
We treat governance as part of the first build, not a later cleanup. The same governed foundation is what makes data AI-ready. See Responsible AI and Governance.
From fragmented estate to governed lakehouse.
Blackwoods, an Australian industrial supplier, unified a product estate of hundreds of thousands of SKUs onto one governed cloud data platform, with real-time streaming, self-service BI for every team, and stock visibility that moved from a 6+ hour lag to under one hour.
Ideas for building trusted data.
The thinking behind the work, written by the engineers who do it.
Data Infrastructure Readiness for AI
Data infrastructure readiness for AI requires trusted meaning, lineage, access, ownership and resilience before production models depend on it.
READARTICLEWhy real-time data is the backbone of modern business innovation
Batch reporting answers what happened. Operating decisions need the number as it moves.
READARTICLEThe rise of AI agents in analytics
What changes when the analyst asks a question and an agent, not a dashboard, does the digging.
READYour data questions, answered.
No. We land a governed foundation and one high-value use case first, then migrate the rest in waves. Value arrives early rather than after a multi-year program.
By making it governed: cataloged, lineage-tracked, quality-checked, and permissioned, with a semantic layer and, where needed, vector stores. Models are only as trustworthy as the data beneath them.
Yes. We build cloud-native on your platform and standardize on open table formats so you keep portability rather than locking into one vendor.
Build a foundation for decisions you can trust.
Tell us where the reconciliation, the drift, or the doubt lives, and we will map it to a governed, AI-ready foundation from where you actually are today.