01
Cost visibility and reporting
Tagging strategy, allocation logic, and dashboards that show spend by team, product, environment, customer, or feature – not just by service.
FinOps
Cloud investment,
aligned to business value
Get visibility, accountability, and control over cloud spend without slowing the engineering teams who depend on it.
We help you reduce waste, forecast accurately, and tie every dollar of cloud cost to the product or team that drives it.
Overview
FinOps brings finance and engineering into one operating language
Cloud spend grows faster than most organisations realise. Idle resources, oversized instances, expired commitments, and untagged workloads compound into bills that surprise the CFO and frustrate the engineers being asked to explain them.
FinOps is the practice of bringing engineering, finance, and product into a shared operating language about cloud cost. Done well, it lets you invest more aggressively where the business value is real, while quietly stripping out the spend that earns nothing.
DataX Power applies the FinOps Foundation framework – inform, optimise, operate – to give you the visibility, controls, and culture needed to manage cloud as a strategic asset rather than an unexplained expense.
What we deliver
The complete
FinOps engagement
Cost transparency, action plans, and ongoing governance – grounded in the real workloads your business runs.
02
Usage analysis and rightsizing
Instance, container, and storage rightsizing recommendations based on real utilisation – often the fastest path to 20–40% savings on compute spend.
03
Commitment and discount management
Reserved Instance, Savings Plan, and Committed Use Discount strategy across AWS, GCP, and Azure – including renewal cadence and exchange playbooks.
04
Budget governance and forecasting
Budget allocations, forecast models, and exception workflows that flag anomalies early – before the monthly bill arrives.
05
Workload optimisation
Spot/preemptible adoption, autoscaling tuning, storage tiering, data transfer reduction, and scheduled environment shutdown for non-prod.
06
Unit economics and chargeback
Cost-per-customer, cost-per-transaction, or cost-per-feature reporting that lets product and finance reason about cloud spend the way they reason about everything else.
Use cases
Where FinOps typically
drives impact
- Reduce cloud bill after rapid growth or organic sprawl
- Reverse the cost spike that follows a major migration
- Establish accurate cost-per-customer or cost-per-feature reporting
- Build a credible commitment portfolio across AWS, GCP, and Azure
- Implement chargeback or showback to product teams
- Bring AI/ML training and inference spend under control
Why choose us
Why teams partner with us
Engineering-led FinOps
Our recommendations are implementable by engineers because they were written by engineers.
Real savings, not slideware
We measure outcomes in dollars saved on the bill, not optimisation opportunities listed in a deck.
Multi-cloud fluency
Native expertise across AWS, GCP, and Azure billing constructs, commitments, and discount programmes.
Sustainable governance
We design FinOps as an ongoing operating cadence, not a one-off audit.
Outcomes
What you walk away with
- Typical 20–40% reduction on compute spend within the first quarter
- Tagged, allocated cloud bill with team-level accountability
- Forecasts accurate within ±5% month-over-month
- Commitment coverage tuned to actual workload patterns
- Engineering, finance, and product aligned on cost as a shared metric
Ready to Get Started
Let's build what's next
Share your challenge – AI, data, or infrastructure. We'll scope your project and put the right team on it.