Data Integration for Finance: ERP, Planning, CRM, and HRIS Connected

Integration between the ERP, planning tools, CRM, HRIS, billing, and the financial data layer — with the close-aware scheduling and dimensional mapping that finance data integration requires.

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Why Finance Systems Don't Talk to Each Other

The ERP holds the financial truth. The planning tool holds the budget and forecast. The CRM holds the pipeline. The HRIS holds headcount and compensation. The billing system holds invoice detail. FP&A needs all five joined to produce the monthly variance analysis the CFO expects — but the joins don't exist. Each system uses different dimensions (the CRM's account hierarchy doesn't match the GL's customer dimension), different time grains (the planning tool is monthly, the billing system is transactional), and different identifiers (the HRIS employee ID doesn't match the GL's department coding). FP&A assembles the data manually every close, spending three days on the extraction and one day on the analysis.

Finance data integration done right maps the dimensions across systems before building the pipelines. The CRM's account hierarchy mapped to the GL's customer dimension. The HRIS organizational structure mapped to the GL's cost centers. The planning tool's forecast dimensions mapped to the GL's natural account and department structure. With these mappings in place, the integration layer produces a unified financial data set that FP&A can analyze without manual assembly. The pipelines are close-aware — they know when to capture adjusting entries, when the forecast refresh happens, and when the GL is finalized.

How Finance Teams Apply It

ERP & Planning Tool Integration

Integration between the GL and planning tools (Anaplan, Adaptive, Oracle EPM) — dimensional mapping, close-aware scheduling, and the unified actuals-plus-plan data set that enables budget vs. actual analysis without manual export.

GL + planning + dimensional mapping + unified

CRM Pipeline for FP&A

Integration from CRM (Salesforce, D365) to the financial data layer — pipeline data with weighted probability mapped to the revenue forecast dimensions, enabling FP&A to incorporate pipeline intelligence into the revenue forecast automatically.

CRM pipeline + FP&A forecast + weighted probability

HRIS & Headcount Integration

Integration from the HRIS (Workday, ADP, BambooHR) to the financial data layer — headcount, compensation, organizational structure mapped to GL cost centers for labor cost analysis and headcount-driven forecasting.

HRIS + headcount + compensation + cost center mapping

What You Receive

Finance data integration delivered for cross-system reality: ERP-to-planning tool integration, CRM pipeline for FP&A, HRIS headcount mapping, billing detail, close-aware scheduling, dimensional mapping documentation, monitoring, and the reconciliation that ensures cross-system joins tie to the GL.

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Pre-qualified Data specialists for your finance projects. 4.3-day average, 92% acceptance.

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Data Integration for Finance — FAQ

How do you map CRM accounts to GL customers?

Through a mapping table maintained as master data — CRM account IDs mapped to GL customer dimension codes. The mapping is built during integration design with FP&A input and maintained as accounts are added. Without this mapping, CRM-to-GL analysis is impossible.

Can you integrate with Workday, ADP, and other HRIS systems?

Yes — through the HRIS APIs or export mechanisms. The critical work is mapping the organizational structure to the GL cost centers so headcount data aligns with financial reporting. We build this mapping with FP&A and HR finance during design.

Can you provide finance data integration specialists?

Yes. Pre-qualified integration engineers with corporate finance experience — ERP, planning tools, CRM, HRIS, and the dimensional mapping discipline finance integration requires. 92% first-match acceptance.

ERP, Plan, CRM, HRIS —
Speaking the Same Language

Dimensional mapping, close-aware scheduling, trial balance reconciliation — finance integration that eliminates the monthly data assembly.

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