Asset-intensive organisations hold a large share of their value in equipment and infrastructure, yet the data describing those assets is frequently incomplete, duplicated or held in separate finance and maintenance systems. When decisions about repair, replacement and disposal rest on poor data, budgets are misallocated and risks stay hidden until something breaks. Standards such as ISO 55001 ask organisations to show that their asset decisions are based on reliable information and measured performance.

Data and Analytics for Asset Management begins with the quality of the asset register and the link between technical and financial records. It then develops analytical methods for cost, condition, reliability, utilisation and risk, and shows how to turn them into visuals that managers and boards can act on. The closing sessions connect the analysis to asset management objectives, performance evaluation and continual improvement in the management system.

Participants work throughout on sample registers, work order histories and cost ledgers. They clean the data, calculate indicators, build a dashboard and agree a data improvement plan for their own organisation.

By the end of the course, participants will be able to:

• Assess the completeness and accuracy of a fixed asset register and design a cleansing routine.
• Reconcile physical asset verification results with accounting and maintenance records.
• Rank assets by criticality and risk using simple scoring models.
• Calculate depreciation, remaining useful life and total cost of ownership.
• Measure reliability with indicators such as MTBF, MTTR and availability.
• Forecast replacement and renewal demand from age and condition data.
• Build dashboards that support ISO 55001 performance evaluation and management review.

The course is aimed at people who keep, analyse or rely on asset information, including:

• Fixed asset accountants and finance officers
• Asset managers and asset planners
• Maintenance and reliability engineers
• Facilities and estates managers
• Fleet and plant managers
• Internal auditors and public sector asset officers
• Utilities, roads and infrastructure agency staff
• Business intelligence analysts supporting operations teams

Participants leave the course with:

• A cleaned and structured sample asset register with defined data standards.
• A criticality scoring matrix ready to adapt to their own asset classes.
• A lifecycle cost workbook comparing repair and replacement options.
• A reliability and availability dashboard built in Power BI.
• A mapping of asset data outputs to ISO 55001 clauses.
• A data quality improvement plan with owners and timelines.

The course is computer-based and keeps participants working with data from the first session. It combines:

• Hands-on labs in Excel, Power Query and Power BI
• Sample registers, work order logs and cost ledgers with realistic errors
• Short briefings on asset management principles and ISO 55001
• Team exercises ranking assets and recommending renewal priorities
• A final dashboard review where peers challenge the indicators chosen

Participants who attend all sessions and complete the practical labs receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy. The certificate records the programme title and dates.