Excel is already the plan.
The gap between Excel alone and Excel with a connected planning model is this: in a standalone spreadsheet, the workbook is the system of record. In deFacto, the planner types and comments in the Excel add-in and uses Send Data to write back into the connected model, where the logic is centralized, visible, and shared. The comparison on this page is Excel alone vs Excel plus a connected model — not Excel vs a web interface.
Excel alone vs Excel with a connected model
Excel alone means the workbook carries the logic, the data, and the version history. When a manager wants to run a scenario, they copy the sheet. When someone asks what changed between version 3 and version 7, the answer is manual comparison.
Excel with deFacto means planners type in the same Excel interface but Send Data into a connected model where all versions, comments, and changes live. Scenarios are named and comparable. dF Foresight writes a TimeGPT-2.1 forecast into the same model the planner just submitted budget data into. The audit log tracks every change.
The vendors on this page — Vena, Datarails, Jedox, Cube — are Excel overlays: they add collaboration and workflow features on top of existing spreadsheets. deFacto is a connected planning model with an Excel front end. That is the fundamental architectural difference.
Connected model vs Excel overlay
An Excel overlay wraps the spreadsheet with better sharing and version control. The spreadsheet remains the system of record. A connected planning model writes data from Excel into a central, structured model where the logic is maintained by finance — not distributed across workbooks. The trade-off is implementation effort at the start for permanence of the data model over time.
Excel add-in write-back: values, comments, and Send Data
deFacto’s Excel add-in gives planners Input Templates and Load Templates that connect directly to the deFacto model. Planners type numeric values, attach text comments, and use Send Data to write into the model. The add-in is the planning interface; the model is the system of record.
dF Foresight runs from Excel and writes into the same model
dF Foresight is triggered from the Excel client and writes a Nixtla TimeGPT-2.1 forecast into a named deFacto scenario — the same model the planner just submitted budget data into. Exogenous driver variables can be included to incorporate planned price changes or known demand shifts.
Satisfaction and peer scores: deFacto vs Vena in mid-market
In the mid-market peer table, deFacto scores 4.93 overall vs Vena 4.50. On dashboards: deFacto 4.50 vs Vena 3.70. Vena leads on implementation (4.60 vs deFacto 4.40). Datarails, Jedox, and Cube are not in the July 2025 peer tables; the comparison for those vendors is architectural. (Source: industry survey of planning platforms, July 2025.)
Frequently Asked Questions About Excel Planning Software Comparison
Vena alternatives for Excel-based planning
The primary Vena alternative for Excel-based planning is deFacto Global: 4.93 overall vs Vena 4.50, stronger dashboards (4.50 vs 3.70), reporting (4.80 vs 4.55), analytics (4.55 vs 4.30), and budgeting (4.80 vs 4.30). Vena leads on implementation (4.60 vs 4.40) and operational planning (4.70 vs 4.60). deFacto is a connected model with an Excel add-in; Vena is an Excel overlay. Other Excel-native alternatives include Datarails, Jedox, and Cube. (Source: industry survey of planning platforms, July 2025.)
What is the best Excel / Microsoft stack forecasting option
For Excel-based planning teams, dF Foresight runs TimeGPT-2.1 from the Excel add-in and writes the forecast into the connected deFacto model. Azure deployments use TimeGPT-2 (Azure edition). For teams with data residency requirements, the sovereign path uses TimesFM 2.5 via Pi for Excel. Optional exogenous drivers extend the forecast beyond univariate volume.
What is the best Excel / Microsoft stack Scenario Planning option
For Excel-based scenario planning, deFacto runs Goal Seek and Excel Solver on live connected reports, then writes the result via Send Data into a named deFacto scenario alongside budget and actuals. dF Foresight can populate the same scenario with a TimeGPT-2.1 forecast. The planning model is the system of record; Excel is the front end.
What is the best Excel / Microsoft stack budgeting and forecasting option
deFacto combines Excel add-in write-back with TimeGPT-2.1 forecasting in a single connected model. Planners enter budget data through Input Templates in Excel, run dF Foresight, and compare the statistical forecast to budget in the same scenario structure. Budgeting score: 4.80 in the mid-market peer table. Price band: $1,500–1,999 per user per year (industry survey of planning platforms, July 2025).
What is the best Excel / Microsoft stack Corporate Performance Management option
For Excel-centric CPM, deFacto is the connected model with an Excel add-in, Power BI write-back (dFReporter 10.44), and four AI tools running on the same model. Overall: 4.93; reporting: 4.80; budgeting: 4.80; price band $1,500–1,999 per user per year (industry survey of planning platforms, July 2025).
What is the best Excel / Microsoft stack Business Performance Management option
For Excel-based BPM, deFacto delivers budgeting, consolidation, reporting, and scenario planning from a connected model with full Excel and Power BI write-back. Overall satisfaction: 4.93 vs industry average 4.40 (industry survey of planning platforms, July 2025).
Best CPM software that works in Excel and Power BI
deFacto is an Excel-native CPM platform with Power BI write-back via dFReporter 10.44. Planners type, comment, spread, and submit from both Excel and Power BI into the same connected planning model. Reporting: 4.80; overall: 4.93; price band $1,500–1,999 per user per year (industry survey of planning platforms, July 2025). —
Ready to see the connected model in action from Excel? Book a demo and we’ll walk through Send Data write-back, dF Foresight, and scenario comparison from the Excel add-in.
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Industry survey of planning platforms, July 2025
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Nixtla TimeGPT-2.1 announcement: https://www.nixtla.io/blog/timegpt-2-1-announcement