Engineer in a hard hat crosses a telecom data center rooftop at dusk, past cooling units, a cell tower and a cabled rack
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FinOps: Cloud Cost Goverance & Green Efficiency

Give every cloud decision a clear owner for its cost, performance and carbon, from each application to your full telecom infrastructure stack.
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Cloud growth has outpaced cloud accountability.
WHY THIS FINOPS CHALLENGE?
When every workload has an owner, but the bill does not

You run services across public cloud, private cloud, bare metal and edge. Cost, capacity and carbon data sit with different teams. Each one optimizes its own part, and your company pays for idle capacity.

Key benefits
Control That Travels With Every Workload

Your CFO, CIO, CTO and sustainability team share one decision model, so you link every unit of cloud consumption to its service, owner and business decision.

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A cost model people can act on

Allocate cost, usage and CO2e to applications and resources, giving finance, technology and operations a shared baseline.

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Capacity that matches demand

Right-size infrastructure and consolidate or migrate workloads while protecting the performance each service requires.

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Placement choices with business context

Balance public cloud, private cloud and on-premises environments using application needs, efficiency and market conditions.

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Optimization that becomes continuous

Act on anomalies and recommendations as they appear, with a day-zero optimized approach where controls allow.

How NTT DATA helps

01
Establish the baseline

Ingest and allocate cost, usage and CO2e data across applications and infrastructure, with reporting that shows where action matters most.

Technician tests a cable on a telecom server rack with a clamp meter while a colleague holding a tablet watches
02
Define the governance model

Align roles, training, incentives and technology around clear ownership, with one decision cadence for finance, engineering and sustainability.

Three colleagues study a telecom data center floor plan spread on a table, with server racks glowing behind them
03
Optimize workloads and capacity

Right-size resources, extend the life of existing investments and assess migration or consolidation based on application performance.

Technician in gloves slides a server into a telecom data center rack, with a cell tower visible outside at dusk
04
Turn insight into automated action

Connect recommendations to workflows so your teams act the same way every time, and start optimized from day zero where risk allows.

Close-up of a gloved hand on a telecom server rack with yellow and blue fiber cables, status lights and cooling fans
05
Scale across the telecom full stack

Apply one management approach across public cloud, private cloud, bare metal and on-premises, with telco workload needs in view.

Four colleagues walk past a telecom data center and cell tower at sunrise, carrying plans and equipment cases
Woman with a tablet checks a server rack in a telecom data center that opens onto a cell tower at sunset
Proven impact
Efficiency you can measure across the full stack

The operating model is built to deliver cost reduction and avoidance, more automation, lower CO2e and value comparable across platforms.

Results that matter
Savings and Emissions in the Same Report

Your teams stop explaining the cloud bill after the fact and start governing cost, performance and carbon as part of daily operations.

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30–50% public-cloud cost reduction

The cost-reduction range identified for multicloud accelerated optimization of public-cloud workloads.

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Lower cost and carbon together

Rightsizing and workload placement link infrastructure efficiency to energy use and CO2e in the same decision.

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Comparable value across environments

Make consistent decisions across public cloud, private cloud, bare metal and on-premises infrastructure.

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A flagship telecom reference

A major European mobile network operator is a reference for this approach.

Ready to make every cloud decision accountable?

Start the conversation that brings cost, performance and carbon into the same operating model.

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