Anaplan vs Pigment vs Abacum for FP&A & Planning

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. Model builders set up reports to compare the variance between versions and can create dedicated Variance and Variance % versions in the Versions pane, adding formulas in the Formula column to compare figures for any time period. For report delivery to the board, a page builder can configure a table card to include Variance (numerical) and Variance % (percentage) columns, covering use cases such as quarterly revenue or cost comparisons. Anaplan XL Reporting adds a full library of visual chart types: the Trend Comparison chart shows two time series and their variance, and multiple variance chart types are available, including absolute variance (bars/columns), relative variance (lollipops), and integrated variance charts that display variances alongside the base value. Teams that need ad hoc comparison can also use the Compare feature to examine differences between a chosen base version and all other data values in a module, including a different or previous version.

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. Variance between any two scenarios is produced through two complementary mechanisms: first, Calculated Items and Show Values As allow users to apply on-the-fly calculations to compute differences between a current model and a snapshotted scenario. Second, the Data Slices functionality lets users display various dimensions side by side, such as Actual and Budget versions, and pivot and transform them to make built-out reports, with no dependency on the Scenarios feature being activated. Variation Waterfall charts add another visual layer, calculating the difference between two columns to show how a baseline such as a Budget is impacted by changes to reach a final value such as Actuals.

For a two-person FP&A team producing board-ready quarterly scenario packages, Abacum delivers side-by-side scenario comparison as a named, documented workflow. The mechanism works as follows: finance builds multiple scenarios (base, bull, bear) either as separate versions or layered within the same version of the model; a dedicated comparison view then places each scenario as a column in a single report. Abacum's scenario comparison functionality allows users to visualize base, bull, and bear cases side by side and drill down into the right level of granularity to understand what is driving variances, without exporting data or manually stitching together spreadsheets. Variance analysis columns can be added to any performance report with a single click, and those calculations automatically update whenever the underlying data refreshes. The AI Scenario Planning layer, part of Abacum Intelligence, also supports plain-language assumption changes: adjusting a few assumptions causes the P&L, cash flow, and headcount plan to update together, so users can compare several versions side by side instead of cloning the model.

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). Versions such as Budget, Actual and Forecast sit alongside these modules, so the same product assumptions can feed scenarios and the rolling 12-month view (Anapedia: CURRENTVERSION / NEXTVERSION). The Polaris engine is documented as allowing almost unlimited dimensionality (Planual: Polaris), so product x tier x customer segment x entity x time is not a structural limit. This is a build-it-yourself modeling mechanism. The fact sheet's 'Advanced Calculation Engines' and 'Anaplan Applications' copy covers the calculation layer but names no packaged attach-rate feature.

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. Cross-sell attach rates would be built the same way, as an input metric by product, multiplied against the base-product volumes. Revenue then rolls up across the product dimension, and Pigment's driver-based revenue planning connects those assumptions to margin, EBITDA and cash flow (Pigment revenue planning page). The Modeler Agent can generate the metrics, formulas and blocks from a natural-language description, which could speed up building the product and attach structure (fact sheet).

For your recurring-revenue business, your two-person FP&A team would replace the linked Excel revenue workbooks with a driver-based model in Abacum's modeling engine. Abacum lists Driver-based Planning and AI Scenario Planning among its planning capabilities, and its AI Modeler builds models from plain-language prompts with no formulas needed (fact sheet claims 828105f7, 9ca5641c). Abacum's own SaaS content says revenue can be built around drivers such as seats, usage, conversion, retention and hybrid pricing (Abacum blog, SaaS forecasting tools). Third-party reviews describe a multi-dimensional engine that supports cohort-based revenue modeling and a proprietary formula language, so each product or tier can carry its own growth rate. A cross-sell attach assumption would be built as a driver or formula linking one product's base to another's. Actuals come from NetSuite through Abacum's NetSuite connector, which has "Built for NetSuite" status.

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. When an FP&A user right-clicks a variance cell in a Metric or on a Board, 'Drill to data source' reads the Metric Dependency Diagram and opens the Transaction list items behind that cell, filtered by the cell's dimensions, such as entity, department or month. This works whether the data sits in the same Application or another one (Pigment KB: Drill to data source; Interacting with Widgets on a Board). 'Drill down' also decomposes the formula step by step, so a variance can be traced from the consolidated figure to the GL lines, which are imported copies refreshed on a schedule. This covers the reporting stage of your process, and the AI Analyst Agent can also run drill-downs to find performance drivers (Pigment KB: Run the Analyst Agent).

For your NetSuite-based, 5-entity (US, UK, Germany) close and board variance review, Abacum pulls NetSuite actuals into the same model as budgets and forecasts. Its variance reports compare them without a separate reconciliation step (Abacum Reporting page). The fact sheet lists Drill-down under Financial Reporting (claim 4d74737b). Abacum's own pages describe drilling from the big picture to source transactions and to every journal or data entry (Abacum financial dashboard and variance analysis pages). Its reporting-automation blog says every figure links back to source data, so a reviewer can reach the underlying transaction in a click. Abacum also documents multi-entity, multi-currency consolidation with automated FX, which is the roll-up your variances would start from. The ERP connection is set up under Data / Connections, where you choose the data to import and the sync frequency (Abacum ERP integration walkthrough).

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. The separate Drill Down feature can investigate an expense line in an income statement all the way down to the general ledger codes. It follows formulas and cells, not ERP records. The fact sheet describes consolidation and reporting at a high level (96ab0d97, 69e0ee4b) and data integration 'from any source' (e622650e), but it documents no NetSuite transaction drill-back. A third-party review states that NetSuite does not appear on Anaplan's connector list, so NetSuite customers typically land ERP data in a warehouse first or use a third-party tool.