Our advanced data analytics platform and expert engineering capability will provide maximum insight about the health of your work management practice based on your data, no matter the information system or how poor or limited that data appears to be at first sight. With our approach using a combination of machine learning, expert engineers and heuristic and meta-heuristic analysis, low-quality data is utilised to provide insightful and powerful reports designed to optimise the specific decisions which need to be taken by a range of stakeholders.
We will work with your teams to extract the required data fields from your information systems. To assist in this process, we will provide you with data extract requirement and templates. The data that we will require is both master data and transactional data.
The minimum data required for the analysis is:
We also process other data sources for enhanced outcomes. These are but not limited to:
We utilise ShareFile by Citrix, a secure encrypted data transfer service for data transfer and secure storage at rest. This enables your team to securely transmit the data to us without limits to file sizes.
This analysis will provide the client with insight into the performance of its current maintenance and asset management approach. This will inform the client on how they will need to engage its work force (contractor or other) in the future. The Example below shows two of the standard reports, schedule compliance and backlog risk.
Schedule compliance is a key work performance metric where better than 85% means that the maintenance teams are in control of their work schedules and operations are confident the work is being completed on time.
Backlog risk is a measure where the difference between the current date at the time of the analysis and when the job was first raised. When the duration of the job in backlog is compared to its original priority the risk can be determined and reported as an operations management issue.
We will provide a comprehensive report which will allow you to work with your teams to investigate specific asset performance issues identified. The time frame from receipt of data to the issue of the report is between 2 to 3 weeks. We can provide this type of in depth work management practice reporting very quickly due to our proprietary software which we have developed over 20+ years, our experienced engineers and analytical processes.