Anaplan vs Pigment

Requirement evaluated: Drill from a consolidated variance to the underlying transactions or journal entries in the general ledger

For your NetSuite-based, 5-entity (US, UK, Germany) consolidation, Anaplan can drill from a summary variance cell to line-level actuals, but only if you load journal-entry or transaction detail into an Anaplan module first. Anaplan's Drill to Transaction drills back from the summary module to the source module to see the component transactions. The source module is filtered by the dimensions chosen in the summary module. The typical build is a transaction-ID list with properties such as month, account and cost center, feeding a reporting module through SUM. Community guidance is to hold that detail in a Data Hub outside the main planning model. …

Limitations: The drill ends at a copy of the GL detail inside Anaplan. There is no documented link back to the NetSuite transaction or journal record. You would also have to build and maintain a NetSuite-to-Anaplan load of transaction-level data through a warehouse or iPaaS tool. …

Requirement evaluated: Drill from a consolidated variance to the underlying transactions or journal entries in the general ledger

For your NetSuite-to-Excel replacement, Pigment's native NetSuite connector imports GL transactions into a Pigment Transaction list. An admin builds a Saved Search on the NetSuite Transaction record type and enters its Search ID. The recommended criteria are posted transactions only, for a given period range, up to the last closed month (Pigment KB: NetSuite Integration: Create Transaction Saved Searches; Connect Pigment with NetSuite). Actuals Metrics are then built from that list. …

Limitations: Drill-through stops at the imported Transaction list in Pigment. It does not open the live NetSuite journal record, and it only shows what your Saved Search includes (posted, up to the last closed month, with role permissions that can silently truncate rows). …

Requirement evaluated: Model multiple products or pricing tiers with independent growth rates and cross-sell attach assumptions

For a $140M recurring-revenue company that currently runs linked Excel workbooks, Anaplan would hold your products and pricing tiers as lists (dimensions) in a multidimensional model. Your FP&A team would build modules with line items for each assumption, such as per-product growth %, price, and cross-sell attach % (attach % of a base product's customers or units that also buy a second product). Formulas then drive revenue by product, tier and period. Anapedia describes modules as line items holding inputs and formulas, and gives examples such as a Margin Calculation module with Unit Price Growth % (Anapedia: Line items). …

Limitations: There is no dedicated cross-sell or attach-rate object. Your two-person FP&A team, or a partner, would have to design and maintain the attach logic in formulas, and third-party reviews cite partner-led builds that take months. That is a heavy lift for a team of two replacing Excel. …

Requirement evaluated: Model multiple products or pricing tiers with independent growth rates and cross-sell attach assumptions

For a $140M recurring-revenue company with several products and tiers, you would create a Product dimension in Pigment and build metrics broken out by that dimension. Pigment's own example does this: a Product dimension with price as a property, and a sales metric by product that is multiplied by that price (Pigment KB, 'Pigment Compared to Excel'). Growth is handled with growth-rate hypotheses applied to a metric, for example a hypothesized 20% year-on-year rate applied to last year's monthly data (Pigment KB, 'Forecasting Approaches in Pigment'). Because the growth input is a metric by product, each product or tier can carry its own rate. …

Limitations: Pigment documents the product dimension and per-product growth inputs, but I found no prebuilt attach-rate or cross-sell template. Your two-person FP&A team would have to design and maintain that logic, including how attach rates are defined between product pairs. …

Requirement evaluated: Compare scenarios side by side in a single report, including variance between any two

For a $140M software company needing side-by-side scenario comparison at every quarterly board meeting, Anaplan's Versions dimension is the core mechanism. Versions are a native model dimension used to compare different scenarios; workspace administrators can create additional versions and set up variance reports to compare the variance between model versions. Each scenario (Budget, Q1 Forecast, Q2 Reforecast, Optimistic, Downside, etc.) lives as a named version, and all can be laid out on the rows or columns of a single module view or published to a report page. …

Limitations: Using many versions (for example, more than 10) can affect performance due to their underlying block structure and can significantly increase model memory usage, potentially causing the model to take longer than expected to open or fail to open. …

Requirement evaluated: Compare scenarios side by side in a single report, including variance between any two

For a two-person FP&A team running quarterly reforecasts and board scenario presentations, Pigment provides a dedicated Compare Scenarios workflow. The Compare Scenarios functionality lets users manipulate data, configure views, and pivot scenarios side-by-side in Metrics and Tables, Boards, and Block Pages. Users select multiple scenarios simultaneously via checkboxes in the Scenario selector, and scenarios are displayed in the order they are selected. …

Limitations: Pigment's native formula engine cannot perform calculations across live Scenarios directly: a formula in Scenario A cannot reference or sum values from Scenario B. …

Requirement evaluated: Audit trail on assumption changes recording the prior value, the new value, the user, and the timestamp

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. …

Limitations: The prior-value field is suppressed for any bulk or import-driven assumption update, which is a realistic path in this buyer's reforecast workflow given their five-entity NetSuite environment. …

Requirement evaluated: Rolling 12-month or 18-month forecast that re-extends automatically as each month closes

For your two-person FP&A team moving off linked Excel workbooks, Pigment handles the roll through its Calendar, where the 'Actual vs forecast' option adds a Period type property that marks each month as actual or forecast (Pigment Community, 'Set up your Calendar'). A 'Switchover date' metric marks the point where months stop being actuals and become forecast. It is a predefined metric that marks when months switch from actual to forecast, and it can be updated manually or with formulas. …

Limitations: The roll is a model design you configure, not a packaged rolling-forecast switch. Someone must build the switchover formula, relative-window metrics and scheduled NetSuite saved-search imports, and extend the calendar date range as years pass, which the Modeler Agent or a Pigment partner can speed up. …