Cloud Analytics

Get fluent in your cloud costs

Translate your public cloud bill into language your business understands – so teams can act on spend with clarity and confidence.

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Overview

DoiT Cloud Analytics transforms your AWS, Azure, and Google Cloud billing data into a single, trusted source of truth. It normalizes usage, enriches it with business context, and makes it easy to explore—from high-level trends to line-item details.

With powerful filters, flexible and prebuilt dashboards, and seamless integrations, Cloud Analytics helps teams uncover cost drivers, tie spend to business goals, and take action faster. No pipelines or manual prep—just clean, accurate visibility that anyone can use.

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Fully automated data ingestion

Pull in billing data from all major clouds—no setup, pipelines, or prep work required

Built-in business context

Enrich cloud spend with teams, environments, products, or custom scopes using Allocations and DataHub

Dashboards built for FinOps

Use pre-configured dashboards for forecasting, anomaly detection, and commitment efficiency

Seamless collaboration

Share filtered views with stakeholders or embed dashboards into tools your teams already use

Clarity, control, and confidence
in your cloud spend

Cloud cost tools often stop at surface-level charts or require SQL skills to dig deeper. Cloud Analytics goes further by combining granular filtering, smart visualizations, and built-in business context to uncover what’s really driving spend—so teams can act faster and smarter.

Deep, flexible filtering
no SQL needed

Slice and dice your data with point-and-click filters across services, accounts, labels, SKUs, and more. Cloud Analytics gives technical and non-technical users the power to explore cost data without relying on exports or writing custom queries.

Context-rich dashboards built for FinOps

Dashboards are pre-built for real FinOps use cases. From anomaly detection to commitment efficiency. They highlight the metrics that matter most, enriched with business context like team ownership or environment. So cost conversations stay aligned with your structure.

Real-time anomaly investigation

Catch unexpected spend changes fast. Cloud Analytics detects anomalies and lets you drill down by service, SKU, or resource to understand what changed, why, and what to do next—all in the same view.

Seamless handoff to other teams

Turn data into action by embedding Cloud Analytics views into the dashboards or tools your teams already use—like Grafana, Looker, or Sheets. Share filtered views with finance, engineering, or leadership in one click—no need to recreate the wheel.

No data stitching or prep work

Unlike other tools, Cloud Analytics ingests, enriches, and aligns cloud billing data out-of-the-box. That means no time spent formatting exports, matching SKUs, or reconciling views between clouds. Just clean, actionable insights from day one.

With traditional tools, you
can’t optimize what you can’t see

Cloud bills are dense, inconsistent, and disconnected from how your organization actually operates. Finance and engineering often lack a shared view of what’s being spent, by whom, and why—making it hard to drive accountability or take action confidently.

No clear visibility into
cost drivers

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Cloud cost data is often buried across providers and third party tools. Without a central source of truth, teams struggle to understand what they’re spending and what’s driving it—especially when usage spans multiple accounts, projects, or SKUs.

Cloud costs aren’t tied to
business context

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Bills are grouped by account or tag, not by product, team, or initiative. That disconnect prevents organizations from aligning costs to value, tracking spend against priorities, or holding teams accountable.

It’s hard to investigate cost
anomalies

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When spend suddenly spikes, most teams lack the tools to quickly isolate the cause. Root cause analysis requires digging through siloed data, manual filtering, or unreliable tagging—slowing response times and obscuring the impact.

Cost analysis isn’t accessible
to everyone

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Many cost management tools require SQL skills or deep cost expertise to explore billing data. This creates a bottleneck—only a few team members can investigate spend patterns or answer cost questions. As a result, finance and engineering stay dependent on analysts instead of acting on their own.

Explore Cloud Analytics yourself

Take a self-guided tour to explore how teams use Cloud Analytics to
understand, report on, and optimize their cloud costs

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“What I value most is that Cloud Analytics isn’t just a tool, it actually fits into how we work. We get real-time visibility into costs, and when something’s off, we know immediately. Sometimes, it's a bug, sometimes a usage shift, either way, it’s something we can act on fast. That kind of feedback loop has made a real difference for both our engineering and finance teams.”

Artem Nikulchenko, Chief Software Architect at Teamwork Commerce

“With Cloud Analytics, you can quickly visualize things. You can see all of the information on dashboards and reports very easily, AWS and Google Cloud accounts work seamlessly. I also love every single DoiT engineer who's helped us resolve issues or investigate potential solutions.”

Jay Rawal, Head of DevOps at Sliide

"Not only did it help us to easily identify cloud savings, but it also reduced my personal time spent analyzing our monthly cloud cost. Unexplainable cost increases took me a few hours to investigate; now with DoiT I can do that in less than 30min thanks to their great Report and Cloud Analytics capabilities."

Stefan Britting, Lead Software Engineer at everstox

Related resources

Unlocking Broader Cloud Insights with Cost Analytics

Read now

Finance vs. cloud costs: A crash-course for finance leaders on adapting to variable spending

Watch now

A guide to cloud cost analytics tools

Read now

DoiT Cloud Intelligence™ is the only intent-aware FinOps platform that goes beyond cost optimization to drive reliability, performance, and security—turning endless “good ideas” into real, implemented solutions at scale—ensuring teams are 10X more likely to achieve business outcomes than with any other solution.

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From cost optimization to cloud migration, machine learning and CloudOps,
we’re here to make the public cloud easy.

From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.

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