Integrations

One card per source category, data flows in from anywhere.

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The Agentic Layer

The governed foundation — platform capabilities.

Reporting & Analysis

Business performance tracking, variance, and analytical insight.

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Planning & Modeling

A comprehensive look at forward-looking corporate financial strategy.

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Consolidation & Close

The entire financial close and data management cycle, at a high level.

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Reporting & Analysis

Financial reporting and analysis that builds itself. And holds up in the boardroom.

Financial reporting and analysis is the practice of tracking business performance against plan, explaining variances, and turning the numbers into decisions. Here is how modern finance teams run it, and where AI now does the first pass.

Why Cube

Reporting answers first. Proof attached.

Cube is the Agentic Finance Layer: it unifies your ERP, CRM, and HRIS into one governed model and runs financial reporting and analysis inside Excel, Google Sheets, Slack, Teams, and your AI assistants. Reporting on one governed model changes what the monthly rhythm looks like. Three things finance teams get back.

Answers before the meeting starts.

The variance is explained and the forecast is current before anyone asks. The first pass is done when you sit down.

One version of every number.

Excel, Google Sheets, dashboards, and the board deck all read from the same governed model, so the answer is the same in every room.

AI you can put in front of the auditors.

Every insight traces back to the transaction or assumption behind it. When someone asks for backup, it is one click away.

An analyst reviewing data across multiple screens
Reporting in Cube

The report is the easy part. Trusting it is the hard part.

The mechanism

Reporting & Analysis in Cube.

Actuals and operating data flow into one governed model, rules and definitions apply once, and every report, dashboard, and answer draws from the same place. Cube connects hundreds of source systems to make that first step routine.

In your spreadsheet

Reporting that runs on live actuals.

Fetch actuals into the workbook your team already trusts, keep plan columns editable, and publish back to the governed model. The pack stops being rebuilt and starts being reviewed.

fetched live from Cube plan inputs, published back to Cube bi-directional: fetch actuals in, publish plans back
Watch your P&L load itself.Bring a tab from your current pack and see the same rows fill from live, governed actuals.

In your browser

One dashboard for every audience.

The Exec Storyboard reads from the same governed model as the sheet above, so every tile refreshes the moment the numbers do.

Exec Storyboard · Mar 2026 · refreshed as actuals land · every tile opens to its transactions

Budget to actual

Where did the $160K opex variance come from?

The March budget-to-actual walk: three drivers carry a $3,080K opex budget to $3,240K actual, with cloud & software flagged at +$96K, and every bar drills to the transactions behind it.

$3,080K +$41K +$96K +$23K $3,240K Budget Payroll & benefits Cloud & software Travel & entertainment Actual Opex · Mar 2026 · $K · axis starts at $3,000K · amber = over budget · each bar opens to its transactions
A team meeting seen from above, laptops and notes on the table
The Analysts

The first pass is done before the meeting starts.

AI at Cube

Four FP&Agent teams for reporting and analysis. One superagent.

Charlie, Cube’s superagent, plans the work, orchestrates every team, and returns the decision-ready answer. For reporting and analysis, the first pass lands with the Analysts: variance, root cause, and ad-hoc answers, drillable to the transaction. Meet all of Cube’s FP&Agents.

The superagent
Super Agent Charlie

Plans the work, orchestrates every team, and returns the decision-ready answer.

Cube proposes.
Finance approves.
Four agent teams
The Data ManagersMapping, reconciliation, and clean, AI-ready data across every connected source system.
The AnalystsVariance, root cause, and ad-hoc answers, drillable to the transaction.
This guide’s teamMeet the Analysts →
The PlannersForecasts, scenarios, and models built and stress-tested alongside you.
The Business PartnersBoard decks, dashboards, and executive narratives from live data.

Reporting and analysis, everywhere work happens.

Connect to Cube's single source of truth from where you work every day, without ever having to learn another tool.

cubesoftware.com
Revenue$8.2M
Opex var+$142K
Forecast$9.6M

Cube Workspace

One command center for planning, reporting, and analysis. No tab-hopping.

Explore the Workspace →
Drilldown
AccountPlanActualVar
Marketing$1.20M$1.34M+$142K
Events$310K$402K+$92K

Excel & Google Sheets

Your model stays yours. Cube keeps every cell current and traceable.

Explore spreadsheets →
#finance12 members
@Cube what drove the Q2 marketing variance?
Marketing ran +$142K over plan, driven by two added field events ($92K) and paid media ($21K).Source: GL-6200 · Actuals through Jun 30

Slack & Teams

No exports, no screenshots. The answer arrives already reconciled.

Explore chat →
PQ2 Board Deck.pptxHomeInsertDesign
Q2 opex review

PowerPoint & Google Slides

When the numbers change, the deck changes. No re-pastes before the board meeting.

Explore presentations →
AI assistantConnected to Cube via MCP
Summarize Q2 marketing spend vs plan
Q2 marketing closed at $1.34M against a $1.20M plan. The +$142K variance traces to event spend approved in the April reforecast.GL-6200Apr reforecast v3

AI assistants

Every insight maps back to the GL, so AI answers are safe to act on.

Explore AI via MCP →
Opex by department

BI tools

Tableau, Looker, and Power BI read the same source of truth as everything else.

Explore BI →

Security & governance

Can you trust the numbers, and the AI?

Reporting is only useful if everyone believes it. Cube is governed by design, and the same controls apply to every agent. Read the full security overview.

SOC 2 Type II SSO & SAML GDPR-ready Audit trail

Read-only by default

Connections to source systems read; they never write back to your GL.

Role-based permissions

People and agents see exactly the accounts, entities, and scenarios they should.

Full audit trail

Every fetch, publish, and agent action is logged and reviewable.

Your data stays yours

Customer data is never used to train shared models.

A number you can trace is a number you can defend.

Trace to the transaction

Drill-through reporting: every number opens.

Any figure in any report drills to the accounts and transactions behind it. Here is the flagged cloud line from the report above, all the way down.

“We went from updating 50+ Excel files and managing 1.75 million formulas across a 200-tab workbook to filling in two fields on one template, which gives us back about 200 hours a month.”

5-star verified review on G2 · multi-location retail · May 2026
0
manual exports in the monthly reporting cycle
100%
of reported figures trace to a source transaction
100s
of source systems feeding one governed model
See your reporting explained, live.Bring one question from your last board meeting and watch Cube answer it with the source attached.

What finance teams say

Reporting and analysis results, in customers’ words.

Thousands of finance professionals at leading companies rely on Cube to tell the story behind their numbers. Cube holds a 4.5/5 rating across 144 reviews on G2.

The close and the pack

“Our monthly close schedule has been accelerated by more than a week, and with the help of Cube we’re consistently on time.”

5-star G2 review

Variance analysis

“Cube has enabled us to drill into budget and forecast-to-actual variances with a level of detail we simply couldn’t achieve before.”

5-star G2 review

Ad hoc reporting

“The biggest selling point was our ability to create custom reports on the fly in seconds.”

4.5-star G2 review

The problem

Why is reporting and analysis so hard?

The work is rarely hard because the math is hard. It is hard because the data lives in a dozen systems and the month is shorter than the to-do list.

The pack eats the month

Ten days of exports and cross-checks leave three for actual analysis. Cube refreshes the pack from live actuals.

Every report tells a different story

Marketing spend differs by report because each defines it differently. One governed definition per metric ends the debate.

Variance commentary starts from zero

Explaining what moved means hours of drilling and chat archaeology. Cube drafts the first pass for your review.

Ad hoc questions derail the week

Every executive question becomes a two-day detour. Self-serve answers on governed data give analysts their week back.

Numbers nobody can defend

One challenged figure in a board meeting undoes a quarter of credibility. Every Cube number traces to the transaction.

Insight arrives after the decision

By the time the report ships, the moment to act has passed. Cube flags material movements as actuals land.

Skip the theory. See your close explained on your own chart of accounts.A 30-minute demo: what moved, why it moved, and the transactions behind it.

The shift

What changes when reporting and analysis is automated?

The workflow keeps every step. What changes is who does the assembly, and how much of the month is left for judgment.

WorkflowManualAutomated with Cube
Close handoffExports, CSVs, and copy-paste from the GL after every close.Actuals land in the governed model as the close finalizes.
Building the packRebuilt every month, with formatting eating days.Templates refresh from the model and the formatting survives.
Variance analysisHunt through the GL for drivers, then write commentary from scratch.Drivers surface automatically and a first-pass commentary is drafted for review.
Ad hoc questionsEach request interrupts an analyst for hours or days.Anyone asks in Excel/Google Sheets or Slack/Teams and gets a governed, traceable answer.
ConsistencyEach report defines metrics its own way.One definition per metric, applied everywhere.
Audit trailThe story lives with whoever built the file.Every figure traces to the transaction behind it.

The report earns trust. The explanation earns influence.

A presenter walking a team through results in a meeting room
The discipline

Reporting shows what happened. Analysis explains why.

The definition

What is financial reporting and analysis?

Financial reporting and analysis

Financial reporting and analysis is the practice of tracking business performance against plan, explaining variances, and turning the numbers into decisions. It covers the recurring reports finance delivers each month, the variance analysis that explains what changed, and the ad hoc questions that follow.

The two halves depend on each other. Reporting earns trust with accurate, consistent numbers, and analysis earns influence by explaining them. Cube runs both on one governed model, so every report, answer, and insight ties back to the same source.

Every company reports. The ones that learn from the report move first.

Six flavors

What are the types of financial reporting and analysis?

Most finance teams run six recurring flavors of the work, all of which should draw from the same governed numbers.

Management reporting

The monthly pack for leadership: P&L, KPIs, and commentary against plan.

Board reporting

The quarterly narrative for directors and investors, built on the same governed numbers.

Variance analysis

The routine that explains actuals against budget or forecast. Read the full guide to variance analysis.

Ad hoc reporting

One-off answers to one-off questions. See how ad hoc reporting works when the data is governed.

KPI & dashboard reporting

Always-on metrics leaders check between cycles, refreshed from live actuals.

Financial statement reporting

Income statement, balance sheet, and cash flow, consolidated across entities and currencies.

See every report type run on your data.

One demo covers the pack, the variance story, and the questions in between.

Book a demo

The five habits

Financial reporting and analysis best practices.

The strongest reporting teams share five habits, and none of them require new software to start.

Define every metric once

Agree the definition of ARR, churn, and spend in one place, and let every report inherit it.

Pair every variance with a driver

A flag without a cause is homework. Run a repeatable variance analysis workflow that names the driver and the action.

Keep the lineage visible

Any number leadership sees should open to the transactions behind it.

Automate the recurring, protect the analytical

Let the pack build itself so analyst hours go to the why.

Answer questions where they are asked

Meet executives in Slack/Teams, Excel/Google Sheets, and the board deck with the same governed numbers.

The buyer's checklist

What to look for in reporting and analysis software.

Six criteria separate platforms that report from platforms that explain. Legacy FP&A platforms move reporting into a proprietary UI, and code-heavy tools leave finance waiting on scripts. Cube runs reporting, variance analysis, and ad hoc answers on one governed model inside the spreadsheets and chat tools your team already uses. Each criterion is worth testing on your own data before you buy.

Connects to your actual stack

Hundreds of source systems, with your ERP, CRM, and HRIS flowing into one model. Cube's integrations cover the major platforms.

One governed model

Definitions, rules, and hierarchies live once, and every surface inherits them.

Native to your spreadsheets

Excel and Google Sheets as live, governed surfaces rather than export destinations.

AI that shows its work

Agents that cite the transactions behind every answer, with finance approving anything that changes the model.

Drill-through to the transaction

Every rolled-up figure opens down to the source entry, in front of the board if it has to.

Security your auditors recognize

SOC 2 Type II, SSO, role-based permissions, and a complete audit trail.

Evaluating platforms? Score Cube against this list, live.Bring your criteria to a demo and check each one against your own reporting workflow.
A blue glass skyscraper against the sky
Questions

What finance teams ask before they switch.

Financial reporting that explains itself.

See what moved, why it moved, and the transaction behind it, on a demo built around your reporting workflow.

Book a demo

30 minutes, personalized to your stack.

FAQs

Financial reporting and analysis, answered

Financial reporting and analysis is the practice of tracking business performance against plan, explaining variances, and turning the numbers into decisions.
 
Reporting produces the recurring artifacts, the monthly pack, the board deck, the dashboards, and analysis explains what changed, why it changed, and what to do next.
Financial reporting states what happened: it consolidates actuals into accurate statements, packs, and dashboards.
 
Financial analysis explains why it happened and what it means, through variance analysis, trend analysis, and ad hoc investigation. Strong FP&A teams automate the first so their hours go to the second.
Variance analysis compares actual results against a budget, forecast, or prior period to identify and explain the differences.
 
It is the core analytical routine of the monthly cycle: flag the movements that matter, find the drivers behind them, and recommend a response.
FP&A teams automate reporting by separating the data from the artifact. They connect source systems to one governed model, define each metric once, and let packs, dashboards, and board decks refresh from that model as actuals land.
 
In Cube, FP&Agents also draft the first pass of variance commentary for finance to review.
Yes, when it works from governed data.
 
Cube's FP&Agents answer questions, draft variance commentary, and flag anomalies using your single governed model, and every answer links to the underlying transactions so finance can verify it. Cube proposes. Finance approves.
No. Cube treats Excel and Google Sheets as live, governed surfaces. You fetch actuals into the spreadsheet, build reports and plans there, and publish back to the governed model, so the workbook your team already trusts stays at the center of the workflow.
Cube connects to hundreds of source systems, including ERPs like NetSuite, Sage Intacct, and QuickBooks, CRMs like Salesforce and HubSpot, HRIS platforms like Workday and BambooHR, data warehouses like Snowflake, and billing systems like Stripe and Zuora.
Implementation is finance-led and requires no code.
 
Step 1 connects your source systems.
 
Step 2 maps your accounts and dimensions into the governed model with guided onboarding.
 
Step 3 turns on reporting, dashboards, and FP&Agents in the surfaces your team already uses.
 
Cube deploys alongside your current stack, with no rip-and-replace.
Cube is SOC 2 Type II audited and supports SSO and SAML, role-based permissions, and read-only connections to source systems by default.
 
Every fetch, publish, and agent action is logged in a full audit trail, and your data is never used to train shared models.