Pre-built Maximo data conversion for every EAM module — assets, locations, work orders, PMs, inventory, meters. Hierarchy-aware crosswalks, MAM and MAS support, FBDI emitters, row-level reconciliation. Audit-ready evidence at every load.
The hard part isn't moving rows. It's translating Maximo's location-asset model and 15+ year meter history into the target shape without losing operational meaning.
Maximo and Oracle Fusion EAM share enterprise asset management concepts, but the data models diverged years ago. Maximo uses a two-tree hierarchy (LOCATIONS plus ASSET parent-child), classification taxonomies via CLASSSTRUCTURE, ORGID/SITEID multi-tenant scoping, and a delivered schema with 1,200+ MAXOBJECT-managed tables. Fusion ALM uses a single Functional Location hierarchy, Asset Groups for categorization, BU/Inventory-Org-driven scoping, and a Cloud-native schema accessed through FBDI/REST.
Every Maximo data migration has to bridge these gaps — and the bridging is where projects slip from quarters into years. Custom SQL written by hand can do it, but each table is a multi-week negotiation between reliability engineering, maintenance planning, finance, and audit. Syntra ETL replaces that with pre-built crosswalks refined across dozens of Maximo conversions in utilities, oil & gas, transportation, and manufacturing.
The same engine handles three deployment scenarios: full Maximo replacement to Fusion ALM, single-domain migration (assets-only, or WO-history archive), and hybrid patterns where Maximo stays operational at certain plants while corporate moves to Fusion. The crosswalks and reconciliation rigor are identical across all three.
The transformations Syntra ETL ships pre-built. No custom code, no multi-month bespoke development against the Maximo MAXOBJECT schema.
Maximo LOCATIONS + ASSET dual trees walked per site, operationally meaningful levels identified, target Functional Location hierarchy proposed. Engineering reviews and signs off before load.
Maximo CLASSSTRUCTURE/CLASSSPEC taxonomy mapped to Fusion Asset Groups + asset attributes. Sparse-spec rationalisation applied so 800 attributes used by 12 assets don't pollute the target catalog.
Cross-storeroom ITEM and INVENTORY de-duplication via fuzzy match on description, manufacturer, and part number. Unit-of-measure normalisation, costing-method translation, lead-time consolidation.
Maximo PM master/child schedules (frequency, meter, seasonal) converted to Fusion Maintenance Program structures. JOBPLAN task sequences preserved with craft, material, and tool requirements.
MEASUREMENT, METER, ASSETMETER data converted to Fusion Asset Operational Data. Full historical timestamp and reading-source provenance preserved. Pre-built partitioning for billion-row meter tables.
LABOR records mapped to Fusion HCM worker IDs, CRAFT/LABORCRAFTRATE rates migrated for WO costing continuity, qualification and certification history preserved per CRAFTSKILL.
A repeatable load order that respects Fusion's data dependencies. Skip a step and your work-order load fails on missing functional locations.
Fusion enterprise structures, BUs, Inventory Orgs, calendars, work types, priorities, asset criticality scales configured via FSM or migration utility. Not user-facing data but everything downstream depends on it.
Maximo LOCATIONS + LOCHIERARCHY transformed and loaded via FBDI Functional Location Import. Asset Groups (from CLASSSTRUCTURE) loaded, asset attributes defined. Hierarchy validated against Maximo for parent-child integrity.
Items (FBDI Item Import), suppliers (FBDI Supplier Import — sourced from Maximo COMPANIES), workers/labor (HDL Worker.dat sourced from Maximo LABOR/PERSON), assets (FBDI Asset Import). Dependency order strictly enforced — locations before assets, items before inventory.
INVENTORY and INVBALANCES converted to Fusion Inventory On-Hand and Subinventory balances. Costing snapshot reconciled to Maximo INVCOST. Open POs and requisitions migrated.
Open WORKORDERs (FBDI Work Order Import), PMs converted to Fusion Maintenance Programs, JOBPLANs to Work Definitions. Historical closed WOs loaded if Fusion is the target archive, or routed to Syntra archive.
MEASUREMENT history loaded (or archived). Final delta replay, parallel-run reconciliation at WO count and craft-hour level, sign-off pack generation. Production cut to Fusion.
Every Maximo data migration load produces signed, drill-downable reconciliation reports.
Source Maximo row count vs target loaded row count per table, per site, per org. Variance threshold zero for asset register and open WOs; configurable for archival domains.
Inventory balance totals per storeroom, WO labor-hour totals per craft per period, asset replacement cost rollups, PM-driven WO counts. Variance flags surfaced before any subsequent load proceeds.
Each record content-hashed at Maximo source and re-hashed post-load. Hash drift indicates transformation bug or corruption — surfaced with row-level diff and field-level call-out.
Maximo asset register per site per criticality vs Fusion asset register. Drillable to asset spec, classification, and parent-location for engineering review.
Open WO count by status, average age, craft-hour spread, total WO labor cost — reconciled period by period. Maintenance planning signs the pack directly.
Storeroom on-hand totals, costed balance, average annual usage by item — reconciled at storeroom-item level. Finance signs off MRO inventory at the same level as financial inventory.
Maximo data migration is the process of moving master data (assets, locations, items, vendors, labor, classifications), open transactional records (work orders, PMs, requisitions, inventory transactions), and historical archives from IBM Maximo (MAM 7.6.x or MAS 8/9) into a target system — typically Oracle Fusion Cloud Maintenance, SAP Plant Maintenance, ServiceMax, or a long-term archive. The technical heart of the work is schema transformation: Maximo's location-asset hierarchy is reshaped into Fusion Functional Locations; meter readings (MEASUREMENT) are converted to Fusion Asset Operational Data; WORKORDER history is rebuilt as Fusion Maintenance Work Orders with full task hierarchy. Syntra ETL handles every transformation natively with governed crosswalks and Oracle-validated FBDI output.
The terms are used interchangeably in industry, but the technical distinction matters: migration is the end-to-end project (extract + transform + load + reconcile + cutover), while conversion is the transformation layer specifically — the rules that turn Maximo data structures into the target shape. Syntra ETL's Maximo data conversion engine ships pre-built rules for asset hierarchy flattening, classification taxonomy remap, ITEM master de-duplication across storerooms, PM-to-Maintenance Program translation, and meter-reading reshape. These are the rules that, on a consultant-led project, would otherwise consume 6–9 months of bespoke SQL development against the Maximo schema.
Maximo's asset model is two-dimensional: the LOCATIONS table forms a top-down tree (site → operating location → child locations) via LOCHIERARCHY, and the ASSET table forms a separate parent-child structure for component-level assemblies (engine → gearbox → bearing). Most Fusion EAM/ALM targets use a single Functional Location hierarchy with asset records hanging off leaf locations. Syntra ETL's Maximo data conversion walks both Maximo trees per site, identifies the operational dependency graph (which assets actually need to roll up to which location for cost rollup and reliability analytics), and produces a target hierarchy that preserves the meaningful relationships while collapsing administrative or duplicated levels. Engineering reviews the proposed hierarchy before any load.
Yes — and at scale. Maximo MEASUREMENT and CONDITION tables routinely hold 100M to 2B+ rows in utilities, oil & gas, and transportation customers, often spanning 15+ years of asset operational history. Syntra ETL's converter extracts the full MEASUREMENT history, joins it to METER and ASSETMETER definitions, and produces Fusion Asset Operational Data (or equivalent target structure) with full timestamp, reading, source, and asset linkage preserved. For customers with PI Historian, OSIsoft, or IoT platforms feeding Maximo, the converter can also stitch historian-level high-frequency data into the same archive lineage — making the move to Fusion the moment to consolidate operational history.
Syntra ETL emits all three Fusion-native load formats: FBDI (File-Based Data Import) ZIPs for ALM/Maintenance and Inventory (Asset Import, Functional Location Import, Item Import, Work Definition); HDL bundles where labor records cross into Fusion HCM as workers; and REST API payloads for incremental delta loads, IoT feeds, and real-time integration. Where the target is not Fusion — for instance, SAP Plant Maintenance or ServiceMax — the engine emits the target-native format (SAP IDocs or LSMW files for PM; ServiceMax Bulk API JSON). Each format is validated against the current target release schema before submission, so validation errors are caught locally — not in a 4-hour ESS job that fails on row 290,000.
Every record extracted from Maximo is hashed at the source — ASSET, LOCATIONS, WORKORDER, MEASUREMENT, INVENTORY rows all get content hashes captured during extract. Every record loaded into the target is re-hashed post-load. The reconciliation engine compares counts, sum totals (cost, hours, quantities, balances), and hash signatures per table, per site, per organization. Any record that fails target validation is captured in an error report with the exact field-level reason — ready for bulk fix or escalation. The output is a signed, timestamped reconciliation pack: Maximo asset register vs Fusion asset register; Maximo WO count by status vs Fusion WO count; Maximo inventory balance vs Fusion inventory balance. Maintenance leadership signs off directly; no rebuild.
Yes. After the initial bulk load, Syntra ETL captures Maximo deltas via CHANGEDATE/CHANGEBY watermarks (or optionally CDC against the underlying DB2/Oracle redo logs for high-velocity tables like MEASUREMENT and INVTRANS) and replays them into the target through REST APIs. This supports the standard parallel-run pattern: Maximo continues taking production maintenance traffic for 1–2 weeks while Fusion is validated against Maximo at the work-order and inventory level. Once maintenance planning, reliability, and operations sign off, traffic cuts to Fusion and Maximo moves to archive-only mode.
Maximo uses ORGID (organization, typically corresponds to legal entity or finance org) and SITEID (operational site) as the core multi-tenant scoping keys. Almost every transactional table — WORKORDER, INVENTORY, PM, MEASUREMENT — has both fields. Fusion typically uses Business Unit and Inventory Organization for similar scoping. Syntra ETL's Maximo data conversion analyses the ORGID/SITEID footprint, recommends a target BU/Inventory Org design, and applies it during transformation so assets visible to Maximo SITE 'PLANT01' end up in the equivalent Fusion org with correct security. The mapping is reviewed and signed off by both functional and security leads before any load.
30-minute call. Walk through your Maximo data volumes, site/org structure, asset hierarchy depth, meter-reading retention, and target Fusion scope — leave with a concrete data-migration plan.