Half the time spent on
reconciliation, across
65 companies.
How NTG unified financial reporting across 65+ entities, centralised reconciliation, and retired the tools that had accumulated through years of acquisition.
The problem.
Finance teams were pulling data from multiple sources, cross checking it in spreadsheets, and assembling reports that were often out of date by the time a decision maker read them.
The numbers were not wrong; assembling them simply took longer than they stayed true.
Acquisition-driven growth had brought 65+ entities into the group, each with its own ERP, reporting cadence and reconciliation process. Disproportionate time went into manual reconciliation between the transport management systems and Business Central. There was no single trusted view of P&L, balance sheet or cash flow. Entity-level reporting was inconsistent, group consolidation was slow, and the audit trail was fragile.
This was also not the first attempt. Earlier data solutions had struggled with adoption, which leaves a harder problem than a technical one. Finance teams had already learned to be sceptical of a new platform.
Where we started.
This project had no prototype phase, because nobody was testing whether group consolidation was feasible. The uncertainty was adoption.
So adoption was treated as a workstream in its own right rather than a rollout phase at the end. Stakeholder sessions and self-service upskilling ran alongside the build, so finance teams could use the platform confidently instead of working around it.
The platform had to earn the trust of teams that had already been let down once.
In production.
The platform is built on Microsoft Fabric with curated financial measures for P&L, balance sheet and cash flow, surfaced through Power BI.
Each entity has a managing director report with consistent KPIs. Group leadership has a consolidated view with drill-down to any underlying company.
Reconciliation between the transport management systems and Business Central is centralised, with automated matching rules and exception queues replacing manual spreadsheet workflows. Legacy data collection tools were decommissioned. Business partner due diligence was standardised, with master data and screening workflows aligned to meet regulatory requirements.
The spreadsheets were never banned; they became unnecessary.
Change how
you operate.
Tell us where you’re stuck. If operational AI can change the outcome we’ll show you how, and if it can’t, we’ll say so.
Talk to us