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A newsletter for finance pros—by finance pros. Get practical, strategic finance insights from those who’ve been there—straight to your inbox.
Financial Data Engine
Cube's Composite Dependency Aware™ engine unifies every source system into a single clean layer. Every number consistent. Every insight traceable. Every workflow connected.
Most finance data engines weren't built for the AI era.
Rigid systems, fragmented sources, and shadow data leave finance teams chasing numbers instead of shaping strategy.
The 80% drain
Your team spends most of their time reconciling spreadsheets and hunting for numbers, not running the analysis the business needs.
→ 80% on assembly, 20% on insightThe AI trust gap
General AI is probabilistic. Finance is deterministic. Without traceability, AI-generated numbers are too risky to put in front of the board.
→ 80% right is 100% wrong in financeThe shadow workflow
Critical context lives outside the stack: spreadsheet adjustments, Slack decisions, deck-level changes. All invisible to every other FP&A platform.
→ Ghost versions of the truthA data architecture built from the ground up for finance.
Cube's CDM engine bridges tabular, multidimensional, and relational structures, with dependency-aware computation that scales from 10 dimensions to 10,000.
Composite modeling that mirrors how your business actually works.
No more rigid cube structures or flat tables. CDM combines structured cubes, relational tables, and layered hierarchies, so finance can plan and report from any angle without rebuilding the model.
- Tabular and multidimensional structures, unified.
- Spreadsheet-style formula syntax with multi-currency logic.
- Dependency-aware computation keeps performance fast at scale.
- On-demand scenarios with no precompute lag.
Connect every source system. Map it to your model in minutes.
Native connectors across ERP, CRM, HRIS, and the data warehouse. The Mapping Agent learns your chart of accounts and applies dimension rules in bulk. No engineering tickets, no consultants.
- 155+ pre-built connectors with bi-directional sync.
- Automated imports keep data live, not stale.
- Conversational AI applies mapping rules at scale.
- Finance owns and modifies connections independently.
Plan and report from any angle. No tradeoffs.
Unlimited dimensions. Drag-and-drop hierarchy management. Tag-based alternate views for finance, functional leaders, and execs, all from one source of truth.
- Multi-entity, multi-currency, intercompany eliminations built in.
- Custom rollups for departments, time, accounts, geographies.
- Drill from top-line metric to GL transaction in one click.
- Compare actuals and plans across any segment, any scenario.
Define it once. Trust it everywhere.
Centralize calculations for KPIs, allocations, and variances. Excel-style syntax that finance actually owns. Scenario-aware, currency-aware, audit-ready.
- Centralized logic applied across every report and workflow.
- Excel-native syntax. No proprietary code hidden behind cells.
- Variances, ratios, and what-ifs computed instantly.
- Scenario- and currency-aware by design.
What separates AI-capable from AI-ready.
Traceability alone isn't enough. Cube gives AI the full financial context it needs to be trustworthy at the GL level.
Unified Data
Normalized and connected across every source system into a single clean layer.
The Right Context
Semantic intelligence that understands your COGS formula, cost center hierarchy, and approval rules. Not generic templates.
Enterprise Governance
Full audit trails, cell-level security, transaction lineage. Every insight passes governance before anyone sees it.
Finance-Native Capabilities
Purpose-built actions like consolidations, multi-currency, and approval workflows that horizontal AI cannot replicate.
Every number maps to the transaction.
A board slide shows a 12% growth figure. Click it. Cube drills past the summary, past the formula, all the way to the specific GL transactions that produced it.
Every AI-generated insight, every dashboard figure, every board narrative is traceable. No black boxes. No best guesses. Just facts.
Explore AI for FP&A →From source systems to decision-ready, in days.
Connect
Native connectors pull data from your ERP, CRM, HRIS, warehouse, and spreadsheets into a single clean layer.
Model
CDM engine maps every source to your dimensions, hierarchies, and business logic. Finance owns it end-to-end.
Activate
Decision-ready data flows into Excel, Sheets, Slack, decks, and every AI assistant, through the Cube MCP Server.
Built for trust. Designed for scale.
Governance is not a feature. It's the foundation. Cube treats security and access control as core architecture, not a checkbox.
Audited & certified
Continuous monitoring across security, availability, and confidentiality.
Compliant by design
Built for healthcare and other regulated industries with elevated data needs.
Cell-level access
CFO sees everything. VPs see their cost center. Auditors see read-only with redactions.
At rest & in transit
MFA, SSO via OAuth/SAML, full audit trail on every change in the system.
Decision-ready data, in production.
Trustworthy data is vital for every business — and ensuring that trust is Cube's biggest strength.
Other platforms ask finance to leave their tools. Cube doesn't.
Spreadsheets stay. Source systems connect. The data layer underneath gets smarter.
| Capability | Spreadsheets alone | Other FP&A solutions | Cube |
|---|---|---|---|
| Bi-directional spreadsheet sync | ✕ | Connector only | ✓ Patented, no-code |
| Composite Dependency Aware™ engine | ✕ | ✕ | ✓ Native |
| Trace to Truth: drill to GL transaction | ✕ | Sometimes | ✓ On every figure |
| Multi-entity, multi-currency, intercompany | ✕ | Often add-on | ✓ Core architecture |
| Cell-level RBAC & full audit trail | ✕ | Row/column only | ✓ Cell-level enforced |
| MCP Server: feeds AI assistants directly | ✕ | ✕ | ✓ Under 2 minutes |
Still have questions?
What is the Cube Data Engine?
Cube's Data Engine is the Composite Dependency Aware™ architecture that unifies data from every source system into a single clean, decision-ready layer. It bridges tabular and multidimensional structures, supports unlimited dimensions, and powers everything from spreadsheets to AI assistants with clean, traceable, decision-ready data.
Can Cube support complex, multidimensional financial models?
Yes. Cube supports unlimited dimensions with structured hierarchies, so you can model by department, product, region, customer segment, or any other dimension your business requires. Multi-entity, multi-currency, and intercompany eliminations are core architecture, not add-ons.
Does Cube work with both Excel and Google Sheets?
Yes. Cube offers patented bi-directional sync for both Excel and Google Sheets. Your team continues working in the tools they already know while Cube adds structure, automation, and governance underneath.
How does Cube make AI trustworthy for finance?
General AI is probabilistic. Finance is deterministic. Cube closes that gap with Trace to Truth. Every AI-generated insight maps back to the specific GL transaction. The Cube MCP Server connects clean, decision-ready data to Claude, ChatGPT, Copilot, and any other AI tool in your organization.
Is Cube secure and compliant for enterprise finance teams?
Yes. Cube is SOC 2 Type II certified, HIPAA compliant, and built on secure AWS infrastructure. Cell-level RBAC, full audit trails, encryption at rest and in transit, MFA, and SSO via OAuth/SAML meet the requirements of finance teams at scale.
Decision-ready data. Everywhere your team works.
See how Cube's Data Engine becomes the foundation for trustworthy AI, autonomous agents, and faster strategic decisions.
