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Case Study
S&P 200 Insurance
Their cloud situation
Poor visibility into their costs was inhibiting the migration of additional workloads to AWS.
Unable to allocate certain shared expenses.
Resulting in poor visibility across the organization into fully allocated costs.
Actions
Professional services engagement to take control of costs and begin to apply FinOps fundamentals
Automation of the cost allocation process via ingestion of the CUR into Redshift and the drafting of SQL queries to perform the allocations.
Outcome
Clarity on cloud spend, increased trust of AWS, acceleration of insight, forecasting capability across client teams, which accelerated budgeting green lights from Finance.
1) Daily updating and execution of the allocation queries resulted in real time visibility into fully allocated costs via BI tools, allowing a much wider audience within the organization to understand their costs.
2) The SQL query library and companion runbooks provided a platform for any number of additional allocations in the future
CASE STUDY
Unit metric frameworks to accelerate decisions and cloud project profitability
Their cloud situation
Trimble, a global technology company with extensive AWS infrastructure, often faced decision paralysis of over 6 months when evaluating current products and potential cloud expansion opportunities.
This consumed valuable resources on projects that could ultimately be rejected.
Trimble identified their core issue wasn't technical complexity but the lack of a financial framework to translate cloud cost attribution into business decisions in over 30 revenue generating cloud-hosted products.
Actions
FinOptik worked with a subset of Trimble BU’s to develop a customized unit metric framework that increased the baseline quality of project proposals.
→ By providing unit cost metrics, FinOptik delivered key benefits to Trimble:
Accelerated Decision-Making: Reduced the evaluation time from 6+ months to days, enabling quicker BU decisions based on new financial insight
Investment Framework: Provided investment teams with a shared financial framework for evaluating cloud initiatives.
Improved Customer Pricing Models: Revealed opportunities to increase pricing model flexibility on client contracts and increase profitability odds based on accurate cost attribution.
Outcome
RESULTS
→ 97% Decision Time Reduction: New AWS investment decisions reduced from 6+ months to under 5 days
→ 386% ROI: $965.3K in value created on $250K FinOptik engagement
→ Revenue Acceleration: Potential $2.5M annually in AWS revenue from faster expansion approvals (50% approval rate on $5M opportunities)