Infor M3 Migration Assessment — Evidence Before Estimate

An infor m3 migration assessment is a structured, evidence-based diagnostic that catalogs your live M3 Business Engine estate — every active CONO and DIVI, the MMS/CMS/CRS/OOL/MMO/MITMAS prefix families actually carrying volume, every Modification Suite mod, every MEC trading-partner flow, every active ION BOD subscription, every Birst dashboard finance touches monthly, every Smart Office personalisation — and turns it into a sized, risk-rated migration plan. Without that evidence base, consultant-led projects burn the first 12–16 weeks on discovery and still misprice the work. Syntra ETL runs a 2–3 week M3-specific assessment that surfaces MDPRDA volume by year, the long-tail customisation footprint that drives 60% of the budget surprise, and a defensible scope that finance and IT both sign.

A standard infor m3 migration assessment runs 2–3 weeks end to end. Week one connects the discovery engine to the M3 BE (read-only DB user or ION Connect OAuth2 client) and crawls the schema, BOD topology, Modification Suite manifest, MEC partner setups, Mashup catalog and Birst registry. Week two profiles the volumes (FGL postings per year, MITLOC lot rows, OOH historical orders, FAP open invoices), classifies customisations by business intent, and benchmarks against Fusion-native capability. Week three packages the deliverables: customisation inventory with retire/replace/rebuild recommendations, MDPRDA-backed volume model, ION/MEC re-platforming topology to OIC, SAF-T/HGB retention strategy, sized timeline, risk register and budget — signed by finance, manufacturing, supply chain and compliance leads.

Generic ERP assessments treat M3 as a 'tier 2 ERP' and skip the things that actually consume the timeline. The Syntra infor m3 migration assessment digs into M3-DNA specifics: Modification Suite mod inventory (which mods are still active, which have shadow business logic, which have been superseded by Infor patches but never cleaned up), MEC trading-partner footprint (how many EDI flows, which partners, which document types, which message versions), ION BOD subscription topology (publishers, subscribers, retry queues, dead-letter handling), Mashup and H5 client personalisations, M3 BI / Birst content registry, lot/serial chain depth for FDA Part 11 verticals, multi-language description coverage in CMS-style tables, and the multi-CONO inter-company posting patterns (CRS165) that govern divisional close. None of these surface in a vanilla ERP discovery.

Modification Suite is where most M3 customers underestimate their migration cost by 40–60%. The discovery engine walks the Modification Suite manifest, classifies each modification by source (vendor-shipped, partner-shipped, internally-built), maps each to the M3 program it patches, and cross-references against current Fusion-native capability. Output is a four-bucket inventory: 'retire' (M3 customisations that exist only because vanilla M3 lacked the capability Fusion ships natively — typically 35–45% of the count), 'replace with Fusion config' (achievable through DFFs, FSM setup, descriptive flexfields — typically 15–25%), 'replace with Fusion extension' (VBCS, OIC, ADF page personalisation — typically 20–30%), 'rebuild as custom' (requires actual Fusion development — typically 10–20%). Finance gets a defensible budget the day the assessment wraps.

Yes — and this is where mid-size assessments fail and large ones bloat. Most M3 customers run 3–15 CONOs across Nordic, Continental EU, UK, and increasingly Asia-Pacific. Each CONO has its own COA, its own bank accounts, its own statutory reporting calendar, its own Modification Suite footprint. Inter-company postings flow through CRS165 with linked FGL entries that have to reconcile against the counterparty CONO to the cent at every period close. The infor m3 migration assessment maps every active CONO, profiles inter-company traffic volume, identifies COA harmonisation work needed before the Fusion enterprise structure can be designed, and sizes the per-entity migration workload separately so the project plan doesn't average the small Polish entity into the large German one.

Birst doesn't carry to Fusion — full stop. But not every Birst dashboard needs to be rebuilt. The infor m3 migration assessment inventories every active Birst dashboard, Smart Office view and M3 BI report by usage telemetry (when was it last opened, by which role, in which CONO), classifies by business value (working-capital control, sales-by-region, inventory turn, demand-vs-supply, supplier-OTIF), and proposes a Fusion replacement: OTBI for self-service analytics, BI Publisher for pixel-perfect statutory reports, Smart View for Excel-tethered finance analysis, and OAS (Oracle Analytics Cloud) for the genuinely complex models. The 40–60% of legacy Birst content that's duplicated or unused gets retired during cleanup — saving meaningful rebuild effort.

Statutory and regulatory retention drive the historical-data scope decision. The assessment maps every CONO to its applicable obligations: German entities to HGB 10-year retention, French entities to FEC requirements, Portuguese / Norwegian / Luxembourg entities to country-specific SAF-T schemas, food and pharma sites to FDA 21 CFR Part 11 batch-record retention, and any entity in regulated supply chain to the relevant ISO and traceability rules. Output is a per-CONO retention matrix that drives whether historical data lands in Fusion (queryable, expensive), in a Syntra cloud archive (queryable, cheaper), or in cold object storage with on-demand restore. The retention strategy is signed by tax, legal and quality before the load architecture is finalised.

Yes. The infor m3 migration assessment is a fixed-price standalone deliverable. Customers commonly run the assessment first to get a defensible budget and timeline, then decide whether to engage Syntra ETL for the full migration, hand the assessment output to a different SI, or stage the work over multiple budget cycles. The assessment deliverables (customisation inventory, volume model, ION/MEC topology, retention strategy, sized plan) are useful regardless of who executes the migration — and the discovery engine output is delivered as machine-readable JSON alongside the human-readable PDF so it survives a vendor change.