Mangelnde Datentransparenz führt zu fehlerhaften Kostenallokations-Entscheidungen
Definition
Manual cost allocation prevents real-time visibility into true cost-per-customer, cost-per-service-category, or ROI-per-tool. Decision-makers lack dashboards to answer: (1) Which customers are most profitable after allocation? (2) Is predictive maintenance ROI positive for our workload mix? (3) Should we outsource or hire for capacity growth? VDMA [3] shows IT material costs vary 2.6-3.3% of turnover depending on strategy; this 0.7% variance (€7-33M for a €500M company) suggests many firms make suboptimal allocation/investment decisions. Example: A firm might invest €50-500k in predictive maintenance [2] without clarity on whether their service mix supports 12-24 month ROI, resulting in stranded capital.
Key Findings
- Financial Impact: 0.5-2.0% of IT budget misallocated due to poor visibility = €50,000-€500,000+ for mid-market firms; Opportunity cost of delayed ROI (predictive maintenance) = €50,000-€150,000 foregone savings over 12-24 months
- Frequency: Quarterly/annual budget and strategy review cycles; compounding annually
- Root Cause: No real-time cost allocation analytics; decision-makers rely on approximations or historical averages rather than current data
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting IT System Operations and Maintenance.
Affected Stakeholders
IT Operations Director, Finance Manager, Executive Leadership
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Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Unbillige Dienstleistungen und Rechnungsverlusteausfälle
Ineffiziente Wartungsstrategie und Überinvestitionen
Fehler in Kostenaufteilung führen zu Kundenkompensation und Nacharbeiten
Verzögerte Rechnungsverifizierung und Zahlungseingänge
GoBD/Betriebsprüfung Risiken durch manuelle Kostenallokation
Manuelle Kostenallokation bindet Kapazität und schafft Engpässe
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