The Real Impact of Disconnected Data
At first glance, data fragmentation looks like a few minor inefficiencies: version mismatches, missing data or an outdated cost model. But under pressure, these small gaps turn into major roadblocks. In manufacturing sourcing, delays aren’t just annoying - they’re expensive. Quote validations take longer; supplier feedback loops break down and internal alignment becomes harder to reach. That’s where fragmented systems quietly start to hurt margins and credibility.
Everyone is Using Different Numbers
When every team pulls from a different Excel sheet, quote email or ERP export, cost assumptions can quickly diverge. Engineering might model with a material price, while Controlling uses last year’s labor rate and Procurement negotiates based on a third benchmark. None of them are wrong, but they are not aligned. This kills trust in the final cost number and slows down sourcing decisions with unnecessary internal debates.
Time Lost to Data Chasing
Fragmented systems force Cost Engineers to act more like data managers than analysts. Hours are spent searching for supplier quotes and verifying material inputs, or formatting cost breakdowns to fit different reporting needs. This manual effort slows teams down and distracts them from more valuable tasks like scenario planning and quote validation. When data gathering takes longer than the decision itself, competitiveness suffers.