SKF's real footprint — region hierarchy, lead brands, and the SAP/ERP data-grain reality (which factory & logistics clusters report actuals vs region-level).
Clusters on SAP S/4 post transactions at site level; consolidating & distribution units still record at area/region. The view labels each so actuals are never confused with estimates.
Clusters on SAP S/4 — every transaction booked at site / line grain. Trust as-is.
Consolidating & transferring clusters — some postings still land at area level; allocation disaggregates them to site using condition-monitored machines, headcount and shipment counts.
Distribution & service desks — recorded only at region / area on legacy systems. The site figure is a modeled estimate until cutover.
1 · Resolve the site. Match legacy site IDs, cluster names and addresses (Schweinfurt cluster = Site DE-021 = Germany) into one golden site record — you can't roll up what you can't match.
2 · Tag the grain. Every transaction carries its recording level (site / area / region) and a confidence score, so the view shows actuals vs estimates instead of pretending they're the same.
3 · Disaggregate. For area-level postings, a driver model splits the total to sites by condition-monitored machines, headcount, shipment counts and payroll — weights learned from on-SAP sites where both grains exist during cutover.
4 · Reconcile & learn. Allocated site sums must tie back to the area total; anomalies and duplicate customer / distributor records get flagged. As each cluster migrates to SAP, estimates flip to actuals — coverage is now 87% and rising.
Bubble size = revenue; color = operational health. Hover any cluster for detail and its lead brand.
Manufacturing regions & distribution markets across SKF's footprint.
Lead brand shown where a non-SKF brand operates the cluster.
Bar color = data grain: green actuals · amber allocated · red region-only.
The cluster-level view — including which distribution & service desks still report at region level.
| Cluster | Country | Region | Lead brand | Revenue | Site-grain | Recording |
|---|---|---|---|---|---|---|
| USA factories & logistics (consolidating) | US | Americas | SKF | SEK 14.6 bn | 84% | Allocated |
| China factories (region-for-region) | CN | China & Northeast Asia | SKF | SEK 12.4 bn | 94% | Actuals |
| Schweinfurt & Germany cluster | DE | EMEA | SKF | SEK 9.5 bn | 96% | Actuals |
| India factories (Pune · Bengaluru · Haridwar) | IN | India & Southeast Asia | SKF | SEK 7.1 bn | 85% | Allocated |
| Gothenburg (HQ · Sweden factories & R&D)HQ | SE | EMEA | SKF | SEK 6.5 bn | 98% | Actuals |
| CEE cluster (Poland · Bulgaria · Austria) | PL | EMEA | SKF | SEK 6.5 bn | 86% | Allocated |
| Monterrey · Mexico (region-for-region) | MX | Americas | SKF Vertevo | SEK 6.0 bn | 80% | Allocated |
| Airasca · Italy (super-precision, +30% capacity) | IT | EMEA | SKF | SEK 5.2 bn | 95% | Actuals |
| UK & Nordics distribution/logistics | GB | EMEA | SKF | SEK 5.0 bn | 82% | Allocated |
| France & Iberia cluster | FR | EMEA | SKF | SEK 4.8 bn | 93% | Actuals |
| Brazil & LatAm cluster | BR | Americas | SKF | SEK 4.0 bn | 90% | Actuals |
| Shanghai tech centre & distribution | CN | China & Northeast Asia | SKF | SEK 3.0 bn | 66% | Region-only |
| Southeast Asia & Middle East distribution | SG | India & Southeast Asia | SKF | SEK 3.0 bn | 58% | Region-only |
| US condition-monitoring & service hubs | US | Americas | @ptitude / IMx / Axios (condition monitoring) · 2015 | SEK 2.0 bn | 62% | Region-only |
| Japan & South Korea | JP | China & Northeast Asia | SKF | SEK 2.0 bn | 92% | Actuals |