The Challenge
Sales lived in Salesforce. Finance and fulfilment lived in Tally ERP. Between them sat a patchwork of spreadsheets that someone updated when they had time — usually right before a leadership review. The symptoms were familiar: duplicate customer records with slightly different names, pipeline numbers that did not match invoiced revenue, and ops teams discovering a won deal in CRM only after finance had already raised a query.
Nobody was deliberately hiding data. The systems simply evolved separately. Sales reps created accounts quickly to move deals forward. Finance needed GST numbers, credit terms, and billing addresses formatted exactly right before an ERP entry. Without a shared mapping between the two, every handoff became a manual reconciliation exercise — and manual reconciliation always lags reality.
Leadership could see activity in CRM and transactions in ERP, but not a clean lead-to-cash thread. Weekly reports were assembled by copying numbers from three sources and hoping they matched. When they did not, the meeting turned into detective work instead of decision-making.
The Approach
Integration projects fail when they start with connectors. We started with field-level mapping: which Salesforce objects and fields correspond to which ERP transactions, who owns each side, and what validation must pass before a record crosses the boundary.
- Object mapping — Mapped accounts, contacts, opportunities, and order stages to ERP customer masters and transaction flows with a written field dictionary.
- Entry-point validation — Required fields enforced at creation in CRM so incomplete records never reached finance for re-keying.
- Role-based access — Sales could create and progress deals; finance controlled ERP posting fields; admins held merge and override rights.
- Dashboard models — Built automated reporting views for pipeline, conversion, and fulfilment status leadership could open without requesting a custom export.
- Adoption plan — Ran UAT cycles with sales and ops, documented the new flow, and ran a parallel period before retiring the shadow spreadsheets.
The goal was not real-time bi-directional sync on day one. It was agreement on which system owns which truth at each stage — and making that ownership visible to everyone who touches customer data.
How It Worked
When a rep created an account, validation rules checked for duplicates against existing CRM and ERP keys before save. Opportunities advanced through stages with required fields at each gate — billing details before "closed won," fulfilment notes before handoff to ops. Finance received structured data instead of a forwarded email asking them to "create this customer in Tally."
Management dashboards pulled from the aligned CRM model, with ERP actuals reconciled on a defined schedule. Exceptions — mismatched totals, missing GST, duplicate masters — routed to named owners instead of sitting in someone's personal tracker. Over months, the spreadsheet bridge shrank until teams trusted the CRM view for pipeline and the ERP view for books.
Results
Enterprise gained a single source of truth for customer and order data across CRM and ERP — not perfect on day one, but governed and improving. Real-time management dashboards replaced the weekly manual assembly job. Reconciliation effort dropped because fewer records arrived incomplete or duplicated. Lead-to-cash visibility improved: leadership could trace a deal from first contact through invoicing without opening four files.
Teams spent less time chasing "which number is right" and more time acting on exceptions that actually mattered. The improved process survived personnel changes because mapping, validation, and ownership were documented — not trapped in one person's head.
Sales adoption improved once reps saw that clean data meant faster invoicing — not extra admin. Ops stopped maintaining parallel trackers because the CRM view matched what finance was posting. The alignment became self-reinforcing: fewer exceptions meant more trust, and more trust meant fewer shadow spreadsheets.
Takeaway
ERP and CRM alignment is a process problem before it is a technology problem. Map the fields, name the owners, validate at entry, and retire shadow spreadsheets with intent. Connectors help — but agreement on truth is what stops the weekly reconciliation meeting.