Click for Takeaways: Datarails for Excel-native FP&A
- Excel isn’t going anywhere: 96% of finance teams still use spreadsheets for planning and 93% for reporting. The problem isn’t Excel — it’s what accumulates around it: version sprawl, broken links, and manual consolidation.
- Continuity vs. standardization: Excel-native wins when adoption risk is the blocker. If FP&A already lives in Excel, retraining and model redesign slow everything down. If strict standardization across many contributors is the mandate, a cloud-native EPM suite is the cleaner fit.
- The bar has shifted: “Connect my GL to Excel” isn’t enough anymore. Buyers now require auditability that survives staff turnover and a traceable link between reported numbers and the underlying data and logic.
- Speed to value: Implementation typically takes around a month, compared to an average of 4.5 months for platforms like Workday Adaptive Planning.
- How to pilot it: Run a 30 to 60-day pilot on the one workflow that causes the most pain. Measure time saved, errors caught, and whether an auditor can trace a reported number back to its source without help. Those three tests tell you everything.
Datarails is an FP&A platform built to work natively with Excel and to connect with any AI tool. It centralizes your financial data for seamless consolidation and validation, supporting drill-down, audit trails, and comprehensive dashboards. Notably, these insights can be directly exported to PowerPoint, where slides update automatically as your numbers change – ensuring your board decks are always current and error-free. Datarails also includes a generative AI chatbot and integrates with over 600 software systems.
Why Excel is Here to Stay
Most FP&A teams aren’t trying to replace Excel. AFP’s 2025 survey found 96% still use spreadsheets for planning and 93% for reporting. The problem isn’t Excel itself. It’s what accumulates around it: version sprawl, broken links, and manual consolidation. Datarails is aimed at teams that want to keep their existing workbooks and add a governed layer that centralizes data and controls. Whether it fits comes down to your workflow: how bespoke your models are, where consolidation breaks, and how much standardization you actually need.
Continuity vs. Standardization
Use Datarails when continuity is the requirement: keep existing Excel workbooks, centralize data, and add finance-first controls to achieve repeatable consolidation workflows without a rebuild. Think of a lean, high-growth finance team managing complex, bespoke monthly models that must stay intact and audit-ready during modernization.
“Best” depends on what you value more: spreadsheet-centric agility or platform-centric standardization. If strict standardization is the priority, cloud-native EPM suites are often the cleaner fit.
What an Excel-native FP&A Platform is
Excel-native FP&A keeps Excel as the primary interface while syncing spreadsheets to a centralized AI-ready layer, with permissions, auditability, workflows/approvals, and automation aimed at removing fragile manual steps.
Competitive Landscape
Most buyers compare four paths:
- Cloud-native FP&A/EPM suites (web-first modeling, standardized workflows)
- Excel-centric platforms with a governed backend (Excel stays; governance – data layer added)
- Excel add-in hybrids (lighter-weight workflow/reporting improvements)
- DIY governance – middleware (pipelines, BI, internal controls, heavier internal ownership)
Where Excel-native Wins and How to Overcome Resistance
Excel-native wins when adoption risk is the blocker. If FP&A already lives in Excel, retraining and model redesign slow everything down. Reporting and consolidation can move faster when Excel stays in place.
While standardization can be a challenge with many contributors, Datarils handles large datasets with higher performance than most cloud-based rivals, ensuring fast recalculations as models scale.
Excel-native often face IT pushback over data control, but Dararils bridges this gap with enterprise-grade audit trails.
That said, Excel doesn’t govern itself. Even with a platform, you still need a clear process for model changes.
Budget time for:
- testing model logic on representative datasets
- approval gates for model changes (named approvers, timestamps)
- documentation for structural edits (what changed, why)
What’s Changed in the Past Few Years
“Connect my GL to Excel” isn’t the bar anymore. Buyers ask for auditability that survives turnover and for tighter links between reported numbers and the underlying data/logic.
Back in 2022, Datarails’ CEO framed the direction as predictive modeling being “the holy grail.” Fast forward to 2026 and the company has gone from strength to strength, securing Serie C funding and launching FinanceOS, an AI-native financial operating system that connects consolidated and fully governed data to any AI tool.
What to Score in Evaluation (7 Key Criteria)
- Excel fidelity: what breaks (formulas, named ranges, Power Query, macros); get written scope
- Integration coverage: prove your specific ERP/CRM/bank/HRIS paths, not a generic list
- Governance: permissions – approval workflows – audit trail demonstrated on your data
- Consolidation/close support: multi-entity mapping and rules tested end-to-end (your chart/rules)
- Automation depth: refresh/schedule behavior; who owns failures/retries
- Performance at scale: stress test with your rows/contributors/refresh frequency
- Security/IT fit: SSO, permission models, audit logs, and how data access fits your architecture
Comparison Table: Approaches in Practice
Implementation time varies by scope but generally takes around a month. By contrast. Workday states an average deployment time of 4.5 months for Adaptive Planning
| Criteria | Excel-native FP&A (Datarails) | Cloud-native EPM (Workday Adaptive, Anaplan) | Buyer tradeoff |
| Excel fidelity | Validate on sample files | Often redesign into platform | Less retraining vs more Excel governance |
| Integration breadth | “Over 600 software integrations” (vendor claim); validate yours – see Datarails reviews page | Broad ecosystems; confirm native vs partner | Faster integrations reduce manual exports |
| Multi-entity consolidation | Strong multi-entity consolidation; validate on your specific chart of accounts and intercompany rules | Often strong frameworks | Consolidation rigor should drive choice |
| Governance/audit trails | Provides audit trails, drill-down, and version control; verify depth and export format in demo | Typically strong enterprise controls – Confirm audit depth and workflow enforcement match your requirements | Governance reduces key-person risk |
| Implementation time | Pilot on one workflow first | Workday claims 4.5-month average (vendor-stated) (Workday link above) | Faster start vs long-run standardization |
Is it Worth Piloting?
If your finance team works primarily in Excel and the goal is to make that work better – cleaner consolidation, less manual effort, more repeatable reporting – Datarails is worth a structured pilot. It’s built for teams that need to modernize without rebuilding from scratch.
It’s a harder fit if the mandate is to reduce spreadsheet dependence at an organizational level or enforce standardized planning processes across many contributors. In those cases, a cloud-native EPM suite such as Workday Adaptive or Anaplan is the more durable starting point.
Run a 30- to 60-day pilot on one workflow that currently causes the most pain. Measure time saved, errors caught, and whether an auditor can trace a reported number back to its source without help. If it clears those three tests, scale it. If it doesn’t, you have your answer before it costs you a full implementation.
Datarails for Excel-native FP&A FAQs
No. Excel-native means keeping Excel as the working interface and adding a centralized layer for data, controls, and repeatable refresh and reporting.
One real workflow that currently breaks: a refresh from a core system into your workbook, plus whatever consolidation/reporting step usually triggers version chaos or manual fixes.
Bring messy, real workbooks. Test formulas, named ranges, Power Query, macros, and any linked workbooks end-to-end.
Pick your top systems (ERP, CRM, bank, HRIS). Validate the specific connector coverage you need, and run an end-to-end refresh into your reporting or forecast model.
When you need one standardized model enforced across many teams, and you’re ready to move planning out of Excel and into a web-first model.
