Our Melbourne ERP development methodology covers business analysis, architecture, development, data migration, and training. Business process analysis (weeks 1-3): understanding how your business actually works. We don't start with technology. We start by mapping your real business processes — not the idealised version in your procedure manual, but the actual day-to-day workflows including the workarounds, exceptions, and informal processes that keep things running. Process mapping: every core business process documented — from customer order to delivery, from raw material purchase to production, from project initiation to invoicing. Each process mapped with: steps (who does what, in what order), decisions (where does the process branch based on conditions?), systems (which systems are used at each step — ERP, spreadsheet, email, phone?), data (what data is created, referenced, or modified at each step?), pain points (where does the process break down, slow down, or produce errors?), and volume (how many times per day/week/month does this process execute?). Requirements definition: from the process maps, we derive specific ERP requirements — categorised as: must-have (processes that the ERP must support from day one — typically core financial, inventory, and operational processes), should-have (processes that improve efficiency but aren't critical for go-live — typically reporting, automation, and optimisation features), and nice-to-have (processes that add value but can be deferred — typically advanced analytics, mobile access, and customer self-service). Architecture decision (week 3): choosing the right approach. Option 1 — Extend existing ERP: if you're running NetSuite, MYOB Advanced, or SAP Business One and the system handles 70-80% of needs, we build custom modules to fill the gaps. Lower risk, faster delivery, but constrained by the base ERP's architecture. Option 2 — Custom ERP on modern stack: if your processes are unique enough that no off-the-shelf system fits, or if you're replacing a patchwork of point solutions, we build a purpose-built ERP using: Next.js (frontend — responsive, fast, modern UX), Node.js or Python (API layer — business logic, integration), PostgreSQL (relational database — financial data, transactions, master data), and Redis (caching, real-time data, session management). This stack: modern, maintainable, and scalable — unlike legacy ERP systems that become difficult to modify over time. Development (weeks 4-12): building the ERP modules. We develop in phases — each phase delivering functional modules that the business can start using. Typical phase structure: Phase 1 (financial core — chart of accounts, general ledger, accounts payable, accounts receivable, GST handling, BAS preparation), Phase 2 (operations — inventory management, purchase orders, sales orders, production planning — depending on the business type), Phase 3 (advanced — project costing, resource planning, quality management, customer portal — based on should-have requirements), and Phase 4 (optimisation — reporting dashboards, automation workflows, mobile access — based on nice-to-have requirements). Each phase: deployed to production, tested with real data, and refined based on user feedback before the next phase begins. Data migration (weeks 10-14): moving data from existing systems. The most risk-sensitive part of any ERP implementation. We migrate: master data (customers, suppliers, products, employees, chart of accounts — the foundation data that must be accurate for the ERP to function), opening balances (account balances, inventory levels, outstanding invoices, and outstanding purchase orders — establishing the financial starting point), and historical data (transaction history — typically 2-3 years for reporting continuity. Some businesses need 7+ years for tax compliance). Migration approach: extract from source systems (MYOB, Xero, spreadsheets, legacy databases), transform (mapping source data structures to the new ERP's data model, cleaning duplicates, standardising formats), validate (business users reviewing migrated data for accuracy — customer names, addresses, balances, inventory quantities), and load (importing validated data into the production ERP). We run parallel operations (old and new systems running simultaneously for 2-4 weeks) to verify that the new ERP produces the same results as the old system for critical processes — particularly financial reporting and BAS preparation.