Data-enabled decisions
We master data. Every kind of data.
Turn data into better decisions.
SmartQ designs and delivers data platforms, analytics and AI — integrating business data, building trusted foundations, and putting insight to work in everyday operations.
Practical intelligence
Integrated data.
Trusted foundations.
Practical intelligence.
Designed around the work your teams need to do.
How SmartQ helps
From source systems to practical action.
We work from the systems that run your business through to the intelligence and operational change that move the business forward.
01Integration
Integrate data from business systems
Bring together ERP, finance, operational, customer and document data so it can be used as one connected business view.
02Data foundation
Build a trusted data foundation
Governed, secure warehouse and lakehouse platforms, with the quality and control that teams can rely on.
03Analytics & AI
Create analytics and AI capabilities
Turn trusted data into reporting, forecasting, machine learning and GenAI capabilities people can actually use.
04Operations
Embed insight in operations
Insight embedded in finance, production, commercial and operational workflows, where those decisions show up in results.
Why SmartQ
Engineering behind the confidence.
Business and technical
We work equally across the business side (finance, operations, planning) and the technical side (architecture, integration, engineering), so solutions are built around the decision as well as the data model.
A senior team by default
Fifteen years of experience per consultant on average. You work with people who’ve solved these problems before — not people learning on your project.
Experience that travels
Our consultants have delivered data and analytics projects across the US, Europe, the Middle East and Japan. Industries include Finance, Retail, Government, Healthcare and Manufacturing.
Analytics & AI
Make better decisions, faster.
Analytics makes performance visible. AI helps teams see what matters next and explore information more naturally. We design these capabilities around real business decisions — not technology for its own sake.
01
Understand performance
See what happened and what’s happening now across the business, with information people can trust and act on.
02
See what matters next
Reveal the drivers, relationships and exceptions behind performance, so teams know where to focus.
03
Anticipate change
Use data to spot patterns, forecast outcomes and identify opportunities earlier.
04
Make knowledge easier to use
Enable people to explore business information naturally and securely with GenAI.
Data Foundations
The confidence behind every decision.
Reliable insight requires reliable data. We bring together information from across your organisation, create a trusted view of the business and make it ready for analytics and AI.
01
Model the business
Create a trusted view of the business around the decisions people need to make, not around how source systems happen to store it.
02
Govern what matters
Make data reliable, understandable, controlled and fit for responsible use.
03
Choose the right pattern
Bulk, incremental or real-time capture, chosen per source and matched to what each system can support.
04
Fit your environment
Cloud, hybrid, on-premises or air-gapped, matched to your regulatory and security requirements rather than to a house preference.
Our work
Where data becomes useful in practice.
Selected examples of how data, analytics and technology come together in practice.
Business insight
One view of business performance
Bringing finance, operational and management information together so teams work from the same picture of performance and decide with greater confidence.
Data foundation
A platform built to evolve
Designing a governed data and analytics foundation that expands with new sources, business requirements and reporting needs — without starting over each time.
Connected operations
Business systems that work together
Connecting applications and operational data so information moves reliably between systems, and teams spend less time reconciling different versions of the same numbers.
Operational improvement
Data applied where the work happens
Using production and process information to surface patterns and support the decisions being made in complex operational environments.
Start where it makes sense.
We can begin with the decision, the problem or the data that is already in front of you.
Talk to us ↗Insights
Perspectives from the field.
Practical perspectives on data platforms, analytics, machine learning and GenAI.
16 Sep 2026
Why BI and DWH Are Not Just an IT Project, but a Business Investment
Five common myths about BI and data warehouse projects — and why treating BI as a business investment, not a software purchase,
22 Dec 2025
Going deep dive on OAC MCP Server
The Oracle Analytics AI Assistant delivers strong natural-language querying—even in unsupported languages—but falls short when handling advanced analytics functions. With the introduction
22 Dec 2025
Facing a new paradigm in Business Analytics
Business analytics is shifting from static dashboards to interactive, narrative-driven experiences where users ask natural-language questions and engage in an ongoing analytical
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Ready to make more of your data?
Let’s discuss your data landscape, priorities and the capabilities you want to create.
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