01 · Access
Can we reliably reach the data?
Licensing, gateways, database drivers, APIs, exports, credentials, IT ownership and legacy constraints all matter before modelling starts.
Complex data & BI architecture
When the reporting problem starts long before Power BI.
For organisations where useful reporting depends on several systems, awkward infrastructure, complex business rules, security requirements or multiple teams — and the real work is making all of that behave like one coherent reporting environment.
ERP, SQL, APIs & filesGateways & legacy systemsGovernance & handover
Multi-source integrationERP, SQL, APIs, cloud platforms, files and practical source-system constraints.
Legacy-ready deliveryIncluding gateway setup and awkward environments where connectivity needs investigation.
Complex logic modellingFinancial, operational and historical rules translated into explainable models.
Production governanceSecurity, refresh, workspace structure, ownership and support designed in.
Where the work usually is
Four layers have to line up before the report can be trusted.
02 · Sources
Which system owns which truth?
Multiple systems can describe the same business differently. The architecture needs clear source responsibility and refresh behaviour.
03 · Logic
How does the business turn data into meaning?
Hierarchies, mappings, time logic, financial rules, exceptions and history need to be understood and made testable.
04 · Control
How does this run safely in production?
Permissions, Row-Level Security where needed, deployment, refresh monitoring, documentation and ownership cannot be afterthoughts.
Hands-on enterprise experience
Complexity is manageable when one technical thread follows it end to end.
StrategiQ Analytics’ founder has handled Power BI delivery from source discovery through production in environments involving enterprise ERP systems, on-premises gateways, unfamiliar source technologies and legacy 32-bit constraints — as well as complex financial reporting logic that had evolved over decades.
- Work with IT rather than treating source access as a prerequisite someone else must solve.
- Translate the reporting rules into a model that can be explained and tested.
- Use the lightest architecture that safely supports the scale and governance requirement.
- Design the ownership model so the solution can survive staff and supplier changes.
A useful principle
Enterprise does not have to mean over-engineered.
Complex source environments may need robust architecture, but additional platforms and layers should earn their place. The design should be driven by scale, risk and maintainability — not by the desire to make the diagram look impressive.
Finance & management reporting
Is the complexity sitting inside the finance reporting process?
There is a dedicated route for CFOs, Finance Directors, FP&A and Financial Controllers dealing with spreadsheet-heavy management reporting, manual consolidation and inherited finance logic.
Delivery approach
Architecture follows the business problem.
The right solution might be a disciplined Power BI model over a few well-managed sources, or a broader data platform with structured ingestion and governance. Discovery determines which.
1
Map the environment
Sources, systems, owners, users, constraints, refresh needs and critical business logic.
2
Choose the architecture
Define the minimum robust design needed for access, transformation, modelling and security.
3
Deliver in layers
Establish source reliability and logic before building the reporting experience on top.
4
Operationalise
Deploy, document, monitor, hand over and establish support and ownership around the finished system.
Complex problem, unclear scope?
You do not need to turn it into a technical brief before speaking to us.
Describe the systems involved, what the business is trying to report and where the current process breaks down. Complex work is scoped around the real environment, not a pre-set package.