03 · Data & reporting
Finance & Data Infrastructure
The layer between your systems and your decisions: financial and operating data defined, connected and reconciled, so KPIs, dashboards and reporting agree with each other.
The problem
Different systems, different numbers.
- Revenue does not match. Billing, CRM and the ledger each report a different figure, and reconciling them takes days.
- KPIs have no single definition. ARR, churn and margin are calculated differently in each deck.
- Reporting is assembled by hand. Exports, copy-paste and manual adjustments every month.
- Dashboards exist but are not trusted. Nobody knows where the numbers come from.
- Systems are not connected. Data that should flow between accounting, billing and CRM is re-keyed.
What we do
Connect the data, define the metrics, build the reporting.
- Management reporting structure: what is reported, to whom, how often and in what format.
- KPI frameworks: written definitions, formulas, owners and source systems for each metric.
- System integrations between accounting, billing, CRM, payroll and banking tools.
- Structured financial and operating data: a clean, queryable layer of ledger, customer, subscription and pipeline data, with mapping tables.
- Reconciliation between layers: billing to ledger, CRM bookings to revenue, headcount to payroll.
- Dashboards for management and operating teams, built on the governed data.
Architecture
Financial data and operating data are different.
They come from different systems, change at different speeds and answer different questions. Good reporting keeps them distinct, reconciles them, and builds on both.
01Financial systems
Bank & cards · Payroll · Bills & expenses
Feed the accounting layer: ledger, close and reconciliation.
02Commercial & operating systems
Billing & subscriptions · CRM & pipeline · Product & usage
Feed operating data: customers, subscriptions, ARR, pipeline and operating metrics. Reconciled to the ledger, not routed through it.
03Models & reporting
KPI models · Forecasts · Dashboards · Management and board reporting
Built from both layers together.
04Across every layer
Finance Automation & AI
Scheduled refresh, reconciliations, reporting workflows, report distribution and AI-assisted analysis where appropriate.
Definitions
Financial data is what the accounting layer records: the general ledger, the month-end close and account reconciliations. It is complete, reconciled and periodic. It tells you what happened, in accounting terms.
Operating data describes the business itself: customers, subscriptions, CRM pipeline, product usage and other operating metrics. It lives in billing, CRM and product systems. It is more granular and more current, and much of it never passes through the ledger.
The two are reconciled, not merged. Revenue in the billing system should tie to revenue in the ledger, and differences should be explained. Together they produce KPI models, forecasts, dashboards, management reporting and board reporting that agree with each other.
What you get
Deliverables.
KPI dictionary
Every metric defined once, with formula, source, owner and refresh cadence.
Management reporting pack
A standard monthly format that draws on both financial and operating data.
Data layer
Structured, documented tables for ledger, customer, revenue and pipeline data.
Dashboards
Built on the data layer, so the figures match the reporting pack.
How it connects
Part of one system.
- Bookkeeping & Finance Operations
The ledger is the accounting layer. Its chart of accounts determines what financial reporting can show.
- FP&A, Financial Modeling & Valuation
Forecasts, driver models and valuation use the same KPI definitions and operating data.
- Finance Automation & AI
A structured data layer is what makes scheduled refresh and automated reporting possible.
Discuss a project.
Tell us what you are trying to fix or build: a close that takes too long, a forecast nobody trusts, a valuation question, reporting that is assembled by hand. We will reply with how we would approach it.