Cost Optimization (FinOps)
Make cloud costs transparent before the next bill causes surprises.
Cloud costs often creep up unnoticed because resources keep running unused or are sized incorrectly. FinOps practices create transparency over consumption and cost per team, project and workload, enabling targeted adjustments without risking performance or availability.
- Transparent costs per team and project.
- Early detection of cost outliers.
- Targeted rather than blanket cost cuts.
cloud costs
cost transparency per team
to first savings
unused resources
Calculated by comparing cloud bills before and after introducing cost monitoring.
- 01
Cost analysis
We analyze current usage and cost data per workload.
- 02
Ownership clarification
We map costs transparently to teams and projects.
- 03
Quick wins
We identify and fix obvious cost drivers.
- 04
Monitoring setup
We set up ongoing cost dashboards and budgets.
- 05
Culture & process
We embed FinOps as a fixed part of the team routine.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Cloud billing data
Detailed billing data from cloud providers.
Resource utilization
Utilization data for compute, storage and network resources.
Project mappings
Tagging information for teams and projects.
Budget data
Planned budgets per department or project.
Workload metrics
Performance and scaling data of individual applications.
Contract terms
Existing discount and reservation models from providers.
Finance
Predictable, traceable cloud costs.
IT leadership
Clear control metrics instead of opaque bulk invoices.
Project teams
Direct feedback on the cost of their own workloads.
Executive management
Better control over a growing cost block.
Transparent costs per team and project.
Early detection of cost outliers.
Targeted rather than blanket cost cuts.
Better predictability of IT budgets.
Greater cost awareness within technical teams.
With a solid data foundation this use case gets faster, cheaper and far more stable.
An existing platform delivers the necessary usage data directly.
Consistent tagging simplifies cost allocation.
Central monitoring can be extended with cost metrics.
Standardized environments make rightsizing measures easier.
Cloud migration & modernization
FinOps sustains the savings achieved through migration.
Data governance & permissions
Clear ownership makes cost allocation easier.
MLOps & model operations
Training and inference costs of models become visible.
Lakehouse Architecture
A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.
Data Integration from ERP & MES
Automatically merge ERP and MES data instead of exporting and reconciling manually.
Streaming & Real-Time Data
Instead of daily batch runs, relevant metrics are available within seconds.