Digital & data
Systems and data that operators use on shift, not dashboards that visit twice a year.
- Case studies
- 3
- Insight pieces
- 2
- Practice leads
- 7
Digital programs in manufacturing fail at adoption, so we start where adoption happens: the shift handover, the quality ledger, the maintenance backlog. The question is which data changes a decision this week, and who owns it.
Builds are deliberately boring: a production data model, a small set of operational applications, and integration contracts with the existing ERP and MES estate. Clients own the code and the schema from day one.
The method in three moves
- 01
Follow a decision
Pick one weekly decision that lacks data. Build for it end to end, then repeat. No platform before the third use case.
- 02
Model once
A shared production data model — orders, batches, quality, maintenance — agreed with IT and operations together.
- 03
Adopt on shift
Training happens on shift, in the plant, with the crew's own numbers on the screen.
Industries where this capability has run
Case studies using this capability
Strandline Robotics
Industrial robotics integrator, 180 deployments
+9% service revenue share
Tanfield Grid
Regional distribution utility, 2.1 million customers
Outage minutes per customer-year: 218 to 146 min
Harbourline Freight
Contract logistics operator, 22 depots, parcel and pallet
Cost per parcel: 100 to 89 % vs contract baseline
Insight on this capability
Who leads this capability
Linnea Holm
Partner · Gothenburg
Production data platforms and adoption on the floor
digital-and-data
Wei Lin Tan
Partner · Singapore
Asia-Pacific supply base redesign
supply-chain-resiliencedigital-and-data
Marcus Feld
Partner · Munich
Automation investment cases and integrator economics
growth-and-pricingdigital-and-data
Talk to a partner before you write the plan
Describe the decision in front of you. A partner who has run it replies within two business days — with questions, not a brochure.