Solutions

Data systems for SaaS, D2C, and finance operations

AI-ready data foundations for SaaS, D2C commerce, and finance operations: trusted pipelines, governed metrics, and lineage that hold up when AI initiatives land on top.

Map my data system View pipeline dashboard

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Choose by operating problem

Start from the decision that currently breaks, not from a generic industry label.

Regulated finance work starts with reconciliation and evidence. SaaS and product-led work starts with source-to-metric trust. Series A work starts with the first durable foundation. Commerce work starts with revenue, margin, inventory, and customer cohort visibility.

The pages below are intentionally narrow. Each one points to the data systems involved, the proof artifact produced, and the next demo or consultation path.

Enterprise and regulated operationsFinancial servicesReconciliation, exception ownership, audit lineage, controlled reportingSFTP/API intake, ERP exports, payouts, warehouse, exception queueReconciliation rule set SaaS and product-led companiesSaaS and technologyProduct, revenue, customer, and go-to-market metrics need one trusted layerProduct DB, events, billing, CRM, support, dbt martsMetric dictionary SaaS and product-led companiesSeries A data stackFirst reliable data foundation before a full internal data teamSource map, warehouse decision, ingestion, dbt, dashboardFoundation handover pack Commerce revenue operationsD2C revenue operationsRevenue, margin, acquisition, inventory, and cohorts need to reconcileStorefront, payments, ads, inventory, cohorts, margin modelWeekly operating dashboard

Shared technical spine

Every solution still follows the same source-to-decision discipline.

The buyer problem changes by route, but the delivery discipline does not: source contracts, ingestion, warehouse or lakehouse choice, dbt models, quality and lineage checks, accepted dashboards, and handover evidence.

Review proof artifacts Map my data system

Operating model

Product and revenue data operating system

Stage 1

Product DB

Stage 2

Events

Stage 3

Billing

Stage 4

CRM

Stage 5

Warehouse

Stage 6

dbt marts

Stage 7

Executive metrics

Source-to-decision path with accepted ownership, tests, lineage, and handover evidence.