Case Study
FinOps Advisory Service for managing Azure Consumptions
After identifying the current state of FinOps practices, a centralized operating model was defined, headed by the CIO, which performed due diligence on the workload to define its taxonomy with respect to the business and produced a unified report of all Azure subscriptions with possible areas for improvement. In the recurring optimization phase, inspired by the FinOps virtuous cycle (Inform, Optimise, Operate):
- regular reports are produced to determine cost trends, relation to budget and allocation to business units or application solutions
- optimization initiatives are identified and prioritized
- assess the impacts of changes and proceed with implementation and verification
- a maintenance strategy is established to sustain progress
Visibility of expenditure for individual applications
Costs optimization
Impacts
Intelligent Ecosystems for a Cloud Strategy.
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STARLIGHT: Artificial Intelligence to fight against high priority threats
Better data analysis and management: a project to equip law enforcement agencies with secure and resilient AI technologies and tools.
Enable Traceability for AgriFood
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