Integration & Migration
Some of the most valuable data work never shows up on a dashboard: integrating many ERPs with a single procurement cloud, connecting a BI platform to the enterprise system behind it, or moving a data-integration code base to a platform that is cheaper to run and easier to change. Done well, it is invisible; done badly, every downstream report inherits the problem.
We treat integration as an engineering discipline — master data on a schedule, transactions in real time, global templates for multi-country roll-outs, automatic error handling and proactive reporting — and migration as a roadmap, not a lift-and-shift: we assess what should move, train the architects on the target platform, and give the organisation a path it can execute without us.
Offerings
ERP ↔ cloud application integration
SAP, Oracle EBS and legacy ERPs integrated with procurement and other cloud platforms — scheduled master data, real-time transactions.
Multi-country roll-out templates
Global integration templates that make each additional market a configuration exercise, not a project.
BI platform migration
Roadmaps and execution for moving from departmental tools (e.g. QlikView) to an enterprise platform — with architect enablement.
BI ↔ source integration
Connecting BI platforms to SAP BW and other sources, and providing alternatives where native integration falls short.
Data-integration platform migration
Moving the existing ETL code base to a more efficient platform — lower support cost, more stable consolidation.
Error handling & monitoring
Automatic error handling and proactive reporting so integration failures are caught before the business notices.
Where AI takes the grind out of migration
Migrations are mostly translation and testing. That is exactly the work large language models are good at — with an engineer deciding what ships.
- 01
Report and query translation
BusinessObjects universes and reports, QlikView scripts, stored procedures and ETL jobs converted to the target platform by LLM tooling, then reviewed and tuned — hundreds of objects, not one at a time.
- 02
Automated mapping
Source-to-target field mapping proposed from schemas, sample data and documentation, with confidence scores so analysts review the doubtful 20% rather than all of it.
- 03
Generated reconciliation tests
Row counts, aggregates and business-rule checks generated per object and run on every cut-over rehearsal, so parity is proven, not assumed.
- 04
Monitoring that reads the logs
Integration failures classified and routed by AI from the error text — the right team, first time, with the likely fix attached.
Our approach
- 1
Assess & map
Inventory the systems, interfaces and data flows; decide what integrates, what migrates and what retires.
- 2
Design the pattern
Define the integration pattern per data type (master vs transactional), the target platform and the global template.
- 3
Pilot one market
Prove the template on one country, system or business unit; harden error handling and monitoring.
- 4
Roll out & enable
Replicate market by market, train the client’s architects and team, and hand over the run-book.
Outcomes
What changes
- Multiple ERPs integrated seamlessly with a single cloud platform — without middleware.
- A single process across markets, reducing cost and increasing efficiency.
- Decreased enhancement and support cost for the integration layer.
- Architects and teams equipped to carry the transformation across the organisation.
Questions we're asked about integration & migration
Not necessarily. Multiple ERPs can be integrated with a procurement cloud using the data-integration tooling you already own, with master data loaded on a schedule and transactions in real time — without a separate middleware layer.
With global templates proven on a pilot market, automatic error handling and proactive reporting. Each additional market becomes configuration rather than new development.
No. We start with a roadmap and workshops, train the architects on the differences between platforms, and migrate in an order that keeps reporting running throughout.
Yes — the existing code base is migrated and validated in parallel, and cut over once it reconciles. The result is typically lower support cost and a more stable platform.