Anaplan vs Adaptive Planning vs Planful for FP&A & Planning

For a finance team with 60 cost centers and 7 department leaders, Anaplan handles this requirement through two layered, native mechanisms. First, a workspace administrator creates custom model roles aligned to each department's function, controlling which modules, versions, and list permissions each role can access. Second, Selective Access is enabled on the Cost Centers list, and each department leader is assigned read (or write) access only to their own cost center list items within the Users pane. Once configured, any grid, report, or UX page that a department leader opens automatically filters to show only the cost centers they are permitted to see: they cannot navigate to peers' data even if they know the cost center names. For finer-grained control, Dynamic Cell Access (Access Drivers) can further restrict read or write access at the cell level using Boolean flags, and page-level role controls in the UX layer let administrators restrict which reporting pages each role can even open. The combination means a department head in, say, Engineering sees only Engineering cost centers on their landing page, while a Finance administrator retains a consolidated view.

For a 480-person software company with 60 cost centers spread across 7 departments, Adaptive Planning delivers cost-center-scoped self-service access through two layered mechanisms documented in its help center. First, each user is assigned 'Owned Levels,' where each cost center is a node in the organizational level hierarchy: a department leader is assigned only the level nodes corresponding to their cost centers, and the system restricts their sheet and report access to those nodes automatically. Second, administrators can layer on 'Access Rules,' which define specific intersections of levels, accounts, and up to 3 custom dimensions that each user or user group can view or edit (with three access types: Limited View, Full View, and Edit). Critically, a single report can be built once and shared with all department leaders: the system filters each user's view to only the data their access rules permit, so a department leader sees only their cost centers without any need for separate report copies. Permissions, owned levels, and sheet settings form a combined security stack that determines what each user can reach.

For a company like yours with 60 cost centers across 7 departments, Planful handles this through its native Dimension Security framework. An administrator navigates to Maintenance > Reports > Dimension Security, selects the Financial reporting area, marks the Cost Center dimension as secured, then uses the Dimension Security Setup page to assign each department leader access only to their specific cost center members from the hierarchy. Once configured, this security is enforced everywhere: Dynamic Reports show each user only the cost center members they are authorized to see in pick lists and page-axis selections, Dashboards enforce the same restrictions on every chart and drill-through, and MyPlan filters all displayed data by the user's dimension privileges. A 'bursting by department or cost center' feature also lets finance push reports to each department leader scoped to their own data. The supporting tier confirms that even AI-driven queries 'inherit your dimension security and role-based access.'

For a team replacing linked Excel workbooks where assumption edits leave no record, Adaptive Planning has a native Audit Trail that an admin enables on the instance and on each version. Once enabled, Audit Trail Search reports can query cell data changes, including changes in standard and modeled sheets, shared formulas, and assumptions. Each logged change carries the user, timestamp, and prior value, and one third-party source says every change to a model assumption on any version is logged with the user's name, timestamp, and previous value. The Audit Trail report's old and new value columns come from Workday documentation as I know it, not from a page I retrieved. Reviewers can also open a cell in the sheet and see its history: cell explorer provides a full audit trail showing the changes made, by whom and when. This operates inside the rolling forecast model itself, so it replaces the Excel version-file approach. It covers each edit as it happens, not just the difference between two versions. Audit Trail also now attributes changes from merged scenarios to the user who made them in the scenario, which fits the board's scenario analysis.

For your rolling 12-month forecast, where the board expects assumption changes to be traceable, Planful's Data History feature is an opt-in, cell-level audit trail across the web application and the Excel plug-in (SpotlightXL). For each data change it records the user, the exact timestamp, the previous value, the updated value, the action type and the source (web or Excel Spotlight) (Planful Help: Opt-in Features). Users can double-click a cell in Dynamic Planning Web, or click Data History in SpotlightXL, to see recent edits. The audit trail is also presented in a filterable view by user, date, action type and source. Structured Planning templates have a separate History feature, which shows who changed a cell, when, and the details of the change (Planful Help: Template Input and View Modes). Planful's fact sheet also stresses governed, role-based access, though that material does not describe audit logging itself.

For a two-person FP&A team managing rolling forecasts across 60 cost centers, Anaplan provides native cell-level and model-level history that captures all four elements the buyer requires for manually entered assumption changes. A user right-clicks any cell in a module grid or worksheet and selects 'Show history' (or clicks the Cell History icon), which surfaces a log of changes including the time and date the cell value was changed, by whom, and what the change was. The History dialog records structured columns covering each of the buyer's four requirements: Date/Time (UTC), User (the email address of the user who made the change), Previous Value (the element name or value before the change), and New Value (the element name or value after the change). All users can view data changes for single or selected cells within the model, and for cells on worksheets and boards, so department contributors are not locked out of reviewing the history of their own inputs. A model's history is retained for the lifespan of the model, and when the dialog limit of 1,000 changes is reached, a full export can be downloaded as a plain text file. However, this complete four-field capture applies only to individual, manual cell edits. For both model and cell History, previous values do not display in a bulk data change (for example, when assumptions are loaded via import action from NetSuite or an integration file). In those scenarios, the history entry simply flags a 'bulk data change' covering any large change to cell data, such as when you import into many cells in a line item, with no before-value surfaced.

For your 480-person, 5-entity model, which currently lives in linked Excel workbooks, Adaptive's workforce planning holds employees, open positions and planned hires in modeled sheets with start dates and compensation. Salary, benefits and tax cost are calculated by period from those dates. Workday's datasheet says planners can "push out hiring dates, change ramp-up time assumptions, plan for attrition" and see the capacity and cost impact in real time (Workday Adaptive Planning for the Workforce datasheet). The product page describes modeling hiring, transfers and retention with driver-based assumptions and seeing the cost impact instantly. An implementation partner article describes the same pattern: cost is calculated from the planned start date, so a hire slipped from April to July re-phases automatically. Role-level time-to-fill and vacancy assumptions would be set up as assumption tables and formulas by job or role on those sheets, and the scenario engine would support the quarterly board what-ifs. The fact sheet's integration claims (any ERP/GL or data source) cover the NetSuite side. This step sits in the driver-based hiring plan that feeds the rolling forecast.

For your 60 cost centers and monthly rolling 12-month view, Anaplan's Operational Workforce Planning app plans at the position level. Its Baseline Annual Plan dashboard shows a vacancy assumption (0% in the sample), a stacked monthly positions chart and cost trend, and a Budget Positions table with status, FTE and fully loaded cost. The Headcount Expense Planning page shows monthly P&L forecasts of salary, bonus, social security and benefits costs, and a headcount plan table that includes average time to hire. The app lets planners adjust baseline assumptions for hiring and turnover to run scenario-based models. A customer session describes scenarios that push out start dates, with hires flowing back from Workday once made. Anaplan's out-of-the-box applications and calculation engine (claims 3f2cbabc, 85bdee12) are the foundation. The documented sources do not show role-level time-to-fill or vacancy tables that derive a start date from requisition open date, or that re-phase salary, benefits and on-costs when that date slips.

For your 480-person, five-entity planning model, Planful's Workforce Planning module (also marketed as Workforce Pro) is position-driven. The expense of an employee is always driven by Position Start Date, and new compensation items are calculated on a position-start basis, so an employee who starts June 3rd is counted as .93 rather than 1 for that month. When a start date slips, the planner edits the position start date, either in Advanced Planning or by a budget manager in MyPlan. As the start date changes, the variance is updated and displayed, so cost re-phases without manual overrides. Benefits can also be set to begin based on position start month, which helps with delayed start dates.