An asset register is a structured record of all physical assets within a facility or organisation — including equipment, machinery, and infrastructure. It serves as the foundation for maintenance planning, procurement, and operational decision-making in ERP and CMMS systems.
A complete asset register typically includes:
A unique identifier for each asset — a tag number or equipment ID that distinguishes it from every other asset in the system.
Equipment name, description, and classification — what the asset is and how it fits within the taxonomy and class library of the ERP or CMMS system.
Functional location — where the asset is installed within the facility hierarchy, from plant level down to individual system and component level.
Manufacturer name, model, and serial number — verified OEM information that enables direct procurement and supplier performance tracking.
Warranty and lifecycle information — commissioning date, warranty expiry, and expected service life.
Links to associated maintenance schedules, spare parts records, and documentation — connecting the asset to every operational process that depends on it.
In industrial ERP and CMMS systems such as SAP and IBM Maximo, the asset register is the backbone of the maintenance and procurement function. Every work order, purchase order, and maintenance schedule is connected to it — making the quality of asset register data one of the most operationally significant master data quality challenges in heavy industry.
An asset register with incomplete or incorrect data creates operational problems that propagate through every system and process that depends on it. The most common data quality issues include:
Missing functional locations — equipment that cannot be assigned to a position in the facility hierarchy cannot be included in preventive maintenance programmes or cost centre reporting.
Incorrect or missing manufacturer names — equipment records without verified OEM information block direct procurement master data processes and prevent spend analysis by supplier.
Absent spare parts links — maintenance teams cannot identify what parts are needed for a given piece of equipment, leading to delays and emergency purchasing.
Incomplete technical attributes — without the required fields populated for each equipment class, the ERP or CMMS system cannot support the automation and analysis it was designed to deliver.
Trapped documentation — critical technical details that exist in project documents, engineering drawings, and SPIR forms but were never extracted into the system.
In Sharecat Data Services' experience, a significant proportion of asset records in industrial ERP and CMMS systems are incomplete at the point of handover from project teams to operations. The cost of this incompleteness — in maintenance delays, procurement inefficiency, and emergency remediation — consistently exceeds the cost of building the asset register correctly from the start.
The most common cause of incomplete asset registers in industrial operations is the project handover gap. When a new plant or facility is commissioned, data is handed over from project teams to operations in whatever state it happens to be in — which is typically incomplete. Critical attributes are missing. Technical details are still trapped inside PDF documents, engineering drawings, and SPIR forms that were never extracted and entered into the ERP or CMMS system.
This is not a failure of intent — it is a structural problem with how data is typically managed at the project stage. Engineering contractors and project teams are focused on delivering the physical facility, not on the completeness and quality of the data that operations will depend on. The result is that operational teams inherit an asset register that looks populated but cannot support the maintenance and procurement functions it was meant to enable.
The most cost-effective solution is to address the asset register before handover — ensuring that data is extracted from project documents, structured according to the ERP or CMMS class library and taxonomy, verified against known standards, and delivered in the exact format the system requires. This process typically involves data enrichment, data cleansing, and where applicable, a structured ERP data migration.
Sharecat Data Services helps industrial operators build and improve asset registers through data cataloguing, data enrichment, and data cleansing services — across new facility commissioning projects and existing asset improvement programmes.
For new facilities, Sharecat Data Services engages at the project stage to extract and structure asset data from engineering drawings, SPIR forms, vendor documentation, and existing systems — using Sharecat Data Services' proprietary reference database of approximately one million verified manufacturer names, part numbers, and model numbers, structured according to the agreed class library and taxonomy of the ERP or CMMS system — ready to load from day one of operations.
For existing facilities with incomplete or incorrect asset registers, Sharecat Data Services carries out a full master data quality assessment to identify where the gaps and errors are, and which records require remediation. The team then sources the correct information from verified references, corrects existing records, and delivers the improved data in a format ready to load — with a before-and-after statistical comparison to demonstrate the improvement delivered.
What sets Sharecat Data Services apart from general data providers is industry expertise. The team understands industrial equipment, OEM naming conventions, and the standards — including equipment reliability data requirements — that determine what a correct and complete asset register looks like in heavy industry. This is why data delivered by Sharecat Data Services does not require remediation after delivery.
ISO 27001 Certified