Included - Analytics

Read the number any way you like. It’s the same number.

Analytics is every way into your technology cost model. Your analysts build reports in embedded Microsoft Power BI. Anyone can ask AI Studio a question nobody built a report for. And an open API feeds the BI tools you already run. Every route reads the same governed, allocated model, so the answer never depends on where you asked.

Included with every capability.

Why it matters

However you read it, the number is the same

Most platforms make you choose their reporting tool, then ask you to trust that it matches everything else. Analytics works the other way round. The hard work happens once, in the governed model built in Data Studio: every cost loaded, allocated and signed off. After that, how you read it is up to you.

Your analysts build in Power BI, as they already do. A CFO asks AI Studio a question in plain language. A weekly summary arrives on a schedule. Your data team pulls the model into its own warehouse. Every route reads the same allocated numbers under the same permissions, so the answer never depends on where it was asked, and any figure can be followed back through every allocation to the ledger line, the invoice or the metered event underneath.

Read forwards, the model tells you what technology cost. Read backwards, it tells you which business units you’re funding a vendor for, and whether another vendor is already doing the same job.

One model, every way in

Choose how your team reads the number. The number doesn’t change.

Each route reads the same governed, allocated model, so a report, an answer, a scheduled summary and your own warehouse all agree.

No language model produces a number. When AI Studio answers, every figure comes from the model’s own calculation.

Read-only by design. No route can change the model, so reporting never becomes a back door into the numbers.

What Analytics does

Analytics gives each person the route they need, and every route reads the same model

Traced all the way to the consumer

Follow a cost from where it started, through every allocation stage, to the business unit that received it, in the app or in a report. That trace is what keeps a chargeback standing when it’s challenged.

Microsoft Power BI, embedded

It is Power BI, so your analysts’ skills and your BI governance carry straight over. Build, copy and extend reports the way your team already does.

Ask, rather than build a report

The Model, FinOps and Planning Assistants in AI Studio answer plain-language questions against the same model. Every figure comes from the model’s own calculation, never from the language model.

Analysis that arrives on a schedule

Subscriptions run an assistant’s analysis on a schedule and send the result to the people who need it, without anyone asking. Built, and generally available in release 6.2.

Your model, in your own stack

An outbound API hands the governed model, financials and journals included, to your own warehouse or BI tool, so reporting outside the platform starts from the same allocated numbers.

Views for each stakeholder, shipped with the platform

Built-in views for the CFO, the CIO, cloud, the IT portfolio, application TCO, IT finance, business spend, the bill and variance, ready to use rather than built in your first quarter.

Report sets built around a decision

Vendor and Contract Optimization, and Project and Resource Optimization, are complete report sets, each aimed at a decision rather than a metric.

Four ways to read the same cost data

A fast default view, front-to-back cost flow, a finance-aligned journal view and a full-detail model that traces every allocation stage. Choose the one the question needs.

Actual, budget and forecast side by side

They’re ledger types on the same model, so comparing actual with budget, or budget with forecast, is a filter rather than a rebuild.

Spend cut the way finance thinks about it

Vendor, cost pool and cost variability each have their own hierarchy, so spend can be cut by supplier, by finance’s own groupings or by how fixed or variable it is.

One set of permissions, every route

One layer controls what a person can do with a report. A separate layer controls which data they can see, by cost center, account, structure or dimension. AI Studio answers under the same permissions as the person asking, so no route opens up data the others wouldn’t.

Unit cost and your own measures

Cost per user, per server, per gigabyte and per transaction sit beside allocation coverage, forecast accuracy and budget adherence. Analysts define their own measures once, in the model, so every report uses the same definition.

Into the board pack, intact

Because it’s Power BI, any report view exports to PowerPoint or PDF with its filters and scenario intact.

Read-only by design

Every route shows the data prepared in the model and none can change it, so reporting can never become a back door into the numbers.

Where Analytics stops

The four data models can’t be mixed inside one report. That’s deliberate. Each one answers a different kind of question, and quietly blending them is how a reporting tool ends up with a total nobody can defend.

Questions Analytics answers

The questions a CFO or CIO review keeps asking, and the decision each one drives

  • What does technology cost as a share of total spend, this month and against plan?Whether the plan still holds, before the quarter closes
  • Which business unit consumed what, and can we show them the working?A chargeback that survives the challenge
  • Where is the variance against budget coming from, and who owns it?Who gets the call, not just how big the gap is
  • What does one application cost fully loaded, including the people who run it?Keep it, consolidate it or retire it
  • How much of the estate is run, how much is grow and how much is transform?Where the next round of investment goes
  • Which supplier is our largest exposure once every contract is counted?What to put on the table at renewal

What it covers

Analytics reports on every category of technology spend in the model, whether it’s consumed, owned or human

Consumed

  • Public cloud
  • AI and agent workloads
  • Software and SaaS
  • Data cloud platforms

Owned

  • Infrastructure and network
  • End user technology

Human

  • Labor and services

Analyst view

What Forrester found when it evaluated how MagicOrange reports

Forrester calls MagicOrange “a strong fit for organizations seeking modern analytics, speed, and ease of use without unnecessary complexity.”The Forrester Wave™: IT Financial Management Software, Q2 2026

Forrester gave MagicOrange the highest possible score, 5.00, for reporting and dashboarding in The Forrester Wave™: IT Financial Management Software, Q2 2026.

Read the Forrester Wave reprint

Disclaimer: Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester’s objectivity at forrester.com/about-us/objectivity.

One model. Read it however your team works.

In a demo, open any figure on a board view and follow it back to the record underneath.