Seven diagnostic products that operate above your data team and your ERP — in the seven structural gaps neither can reach.
The only operational window before exit dynamics take over.
Pre-transaction is the only window where what you find can still be repriced. Once due diligence opens, valuations crystallise — and the same findings become deductions applied by the buyer, not by you.
| What your data team does | Where GLO25 operates |
|---|---|
| Answers the stated question | Detects whether the stated question is the right one |
| Finds correlations across hundreds of variables | Isolates the single causal binding constraint |
| Extrapolates historical patterns forward | Reverse-engineers from the desired end-state back |
| Works with tables and time series | Works with entity-relation semantics (knowledge graph) |
| Analyses internal data | Detects external signals (BORME, KVK, M&A, regulation) |
| Builds models | Audits models independently — AI Act / DORA / bias |
| Simulates historical scenarios (Monte Carlo) | Simulates multi-agent behaviour with individual agency per stakeholder |
Boeing selected Baan in 1994 for 757 production. Before implementation, all processes were documented in flowcharts and best-practice templates were applied.
Result: stock-outs fell from ~350 per day to ~10. 25,000 employees consolidated into one system. Implementation time: half that of comparable competitors.
Lidl started project eLWIS in 2011 to replace its legacy system with SAP for Retail. A fundamental conflict went undetected: Lidl valued inventory at purchase price; SAP standard used selling price.
Final cost: ~€500M. Project cancelled 2018. Seven years without process modernisation.