Sales commission calculation
Data: attainment spreadsheets, rate cards, SQL employee data
lookup rep to quota & tier, calculated tiered rate, aggregate by rep / period.
Out: commission payout dataset, monthly, chained to payroll
Use cases
Mud Cake takes the data a business function already has, combines it with other datasets and SQL sources, and runs repeatable, scheduled, lineage-traced transformations that produce the calculated datasets that function needs: commissions, margins, accruals, reconciliations, and reports.
How it maps
Bring in the data the function lives on: spreadsheets, SQL tables, extracted documents, and other datasets.
AI extracts and validates the structured data; reviewers approve it before it becomes a dataset.
A versioned recipe of lookup (against other datasets or your existing SQL tables), calculated, filter, and aggregate steps produces the output, no SQL authored.
Schedule it on the function's cadence; successful runs durably chain to downstream datasets, with full lineage for audit.
Function 01
Sales commission calculation
Data: attainment spreadsheets, rate cards, SQL employee data
lookup rep to quota & tier, calculated tiered rate, aggregate by rep / period.
Out: commission payout dataset, monthly, chained to payroll
Pricing & margin analysis
Data: price lists, competitor sheets, SQL cost and product data
lookup standard cost, calculated margin %, filter outliers, aggregate by SKU / category / region.
Out: pricing analysis dataset, weekly
Rebate & incentive accrual
Data: rebate agreements (PDF/Excel), SQL sales transactions
lookup agreement terms, calculated accrual, aggregate by vendor / customer.
Out: rebate accrual dataset, monthly, chained to settlement
Function 02
Invoice & AP processing
Data: vendor invoices (.pdf/.xlsx), SQL POs and goods receipts
lookup PO / GRN match, filter exceptions, aggregate by vendor / period.
Out: AP dataset, daily, chained to approval
Revenue recognition
Data: contracts, billing schedules, SQL GL data
lookup performance obligations, calculated recognized vs deferred, aggregate by period.
Out: recognition dataset, monthly close
Spend & procurement analysis
Data: supplier invoices, SQL category spend data
lookup category taxonomy, filter maverick spend, aggregate by supplier / category.
Out: spend analysis dataset, monthly
Financial consolidation
Data: entity trial balances, SQL intercompany schedules
lookup account mapping, filter intercompany, aggregate to group.
Out: consolidated dataset, monthly
Function 03
Inventory reconciliation
Data: cycle-count sheets, SQL stock data, supplier ASNs
lookup system-of-record, filter variances, aggregate by location / SKU.
Out: reconciliation dataset, daily
Demand & forecast inputs
Data: historical sales exports, SQL product hierarchy
rename / normalize, lookup product hierarchy, aggregate by period.
Out: forecast-input dataset, weekly, chained to forecast
Function 04
Payroll inputs & benefits
Data: timesheets, benefits enrollment forms, SQL pay rates
lookup pay rate / code, calculated gross, aggregate by employee / period.
Out: payroll-input dataset, biweekly
Headcount & compensation analysis
Data: HRIS exports, comp band documents
lookup bands, aggregate by band / department.
Out: comp analysis dataset, quarterly
Function 05
Regulatory & ESG reporting
Data: compliance submissions, ESG data sheets, SQL entity data
lookup reporting taxonomy, calculated metrics, aggregate by entity / period, full lineage for audit.
Out: reporting dataset, quarterly / annual
Tax / VAT reconciliation
Data: tax invoices, VAT returns, SQL ledger data
calculated VAT, lookup rates, filter exceptions, reconcile to ledger.
Out: VAT reconciliation dataset, monthly / quarterly
Why it fits
Data is the source of truth
The numbers a function needs start in spreadsheets, SQL tables, and documents. Mud Cake brings them together instead of waiting for someone to retype and reassemble them.
Calculations are repeatable, not ad hoc
Commissions, margins, and accruals run as versioned recipes, same logic every period, auditable, no spreadsheet drift.
Cadence is built in
Schedule monthly close, weekly pricing, daily reconciliation, and chain downstream automatically on success.
Every number is traceable
Full lineage from a downstream report back to the source data and the exact run that produced it, audit-ready.
Tell us the process, commissions, pricing, rebates, close, reconciliation, and we will scope it on your own data.