Asset Management

Optimise your asset management

Understanding and developing your organisation's asset management maturity will help you connect to and automate a multitude of processes, providing robust compliance and saving significant workforce hours to be reinvested in core activity.

City's self-assessment tool covers database management, CAFM system, capital spend data, asset replacement and selection, and data analytics.

Select the numbers to identify your organisation's maturity level for each question. There are 5 questions in total.

Does your organisation have a comprehensive asset database and linked costs at individual asset level?

We have no asset data, and jobs are logged by description of fault at site.

A full asset tagging and verification project, mapped into a custom asset database.

We have no asset database, with limited job and financial data.

Deep dive analysis on current spend and patterns. Advise on target areas of concern and outline a clear plan to capture asset data, enabling further savings to be made with informed specification choice.

We have sporadic asset data, and several years of job data and financials.

A full assessment of the asset database to enable a cleanse and update. Lifecycle costing overview to review the current specification and impact costs. Strategic review of job data to produce resource utilisation reporting.

We have full asset data and several years of job data from our CAFM system and robust financials.

Recommend a full lifecycle costing project. This will enable asset review, budget planning, strategy reviews, and manufacturer specification review driven by the full cost of ownership by asset make and model.

We have a robust asset database and more than 5 years of cost and engineering time data, logged at an individual asset level.

There is the potential for a full lifecycle costing solution. In addition, advanced methodology can be used to provide forecasted spend across 1-3-5 years to allow robust planning and early procurement.

Does your organisation have a computer-aided facilities management system that has the ability to capture job-related data including cost and engineering time at asset level?

Our organisation does not have a CAFM system. All maintenance activity is dealt with on a reactive basis.

Scoping and support in the selection of a fully integrated CAFM system with abilities to log at asset level. Review of cost data and the utilisation of benchmarking tools to target broad efficiency opportunities.

We have a basic system in place logging activity at a main asset type level and not at individual asset level.

Scoping and support in the selection of a fully integrated CAFM system with abilities to log at asset level. Review of cost data and the utilisation of benchmarking tools to target broad efficiency opportunities.

We have a system in place that has capabilities to capture cost, engineering time and activity at an asset level. The system is not currently utilised across all asset types.

Data analysis and benchmarking of asset types captured at main asset type level (where data permits). Scoping and support for the additional expansion into full asset groups.

We have a recognised platform that captures maintenance activity, cost and compliance at an asset level. Data is not held in a central repository.

Support in the alignment of data prior to a full resource utilisation project. Labour loading carried out using job and resource detail by discipline. Capacity plan produced.

We have a recognised platform that is robustly capturing costs, planned and re-active time and compliance at an asset level, feeding data into a central repository.

A full resource utilisation project. Labour loading carried out using job and resource detail by discipline. Capacity plan produced. Benchmarking on efficiency and cost.

Does your business capture capital replacement and project investment spend at asset level?

Our organisation does not keep track of asset financial transactions. Assets are replaced on a needs only basis. Large project records are not held.

Scoping of systems for data capture. Advice and support on the transition strategy for lifecycle management.

Capital spend data is cost data only, and no detail of works is undertaken.

Scoping of tools for capture at asset level. Top level assessments on spend per sq ft for benchmarking and comparative analysis.

Capital data is held at a main level only and not detailed into asset level.

Scoping of an asset-based capture system and analysis works over a main asset type level to help identify trends and future requirements.

We have 5+ years of robust capital spend data held in segregated platforms.

Scoping of a central data warehouse allowing the implementation of an lifecycle costing platform for project identification and future planning.

We have 10+ years of project data detailing spend at asset level detail and held in a central repository.

Analysis and targeting of potential projects and future forecasting.

Is asset performance and reliability information used in the selection of assets to be replaced and the specification of assets in your business?

We replace assets at end of life when a repair is not possible or parts can not be sourced on a reactive basis.

Scoping of capital business planning and lifecycle cost tools.

Asset replacement is driven by ad hoc requests from field management teams.

Scoping of capital business planning and lifecycle cost tools.

Asset replacement decisions are made from informed field visits and not data-driven. Selection of asset specification is driven by manufacturer data.

Scoping of capital business planning and lifecycle cost tools.

Asset replacement decisions are driven by informed views of equipment condition from manual data reviews and field condition reports.

Implementation of automated targeting tools to identify the most appropriate equipment and assets to be replaced.

We have a robust asset replacement program driven by targeted business planning and lifecycle cost tools.

Micro analysis should be carried out at the manufacturer/model level and benchmarked against City's asset library to measure performance and recommend the best cost of ownership model.

What tools are in use to help decision makers select assets for use and replacement?

No analytics or reporting for asset management is in place.

Support with business case and build requirements for analytics platforms.

Asset replacement is based on age profiling data only, with no further feeds from performance and condition.

Demonstrate City's existing artificial intelligence and machine learning products. Perform gap analysis to drive requirements. Capture relevant telemetry or historical data to produce an initiative program.

We have segregated systems and data delivering ad hoc reports in standard reporting formats such as Excel.

Develop the requirements for central data warehousing and build requirements for reporting and analytical tools on a common platform.

All data is held in a central repository and fixed tools utilise standard methods of data presentation, such as Power BI.

A feasibility review on the potential for integration of advanced analytics, such as artificial intelligence and machine learning, to drive decisions on investment and inform maintenance strategy.

Advanced analytical tools are in place that use artificial intelligence and machine learning principles to support equipment specification and recommendations for replacement. Prescriptive and predictive modelling is integrated into planned maintenance regimes.

Your organisation is at the highest level of maturity. We recommend continual vigilance and dialogue on industry best practices and innovation.

Recommendations

Your Score

Asset database management
CAFM system
Capital spend data
Asset replacement and selection
Data analytics
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Maturity Model