Your work order captures the maintenance history of a technical object. It is usually evaluated overtime to follow and understand key factors such as maintenance costs, frequency of preventive maintenance, labor hours, etc. However, when historical work order data is incomplete, analyzing failure codes, downtime, materials used, and more is a challenge.
Why do these gaps occur?
- Your data is not ready yet! Most of the time, your historical work order data may be readily available, but it just isn’t ready for analysis yet. Assessing and evaluating your data before analysis can help filter out unnecessary information that can improve data quality. Proper training and use of the software can also help improve data sets in your historical work orders.
- Different standards lead to inconsistencies: There is room for more confusion when there are multiple ways of inputting and formatting data on a software system. This usually happens because of non-standardized procedures of handling data. For a multinational company, there might be different procedures for collecting data across departments or business units. For effective analysis, data processes need to be standardized across teams and countries.
The bottom line
Your historical work order data contains useful insights that can help you identify improvement areas and take your maintenance strategy to the next level. Analyzing historical work order data over time can also help you plan and assign tasks easier. If you’d like to learn more about how analyzing your historical work order data can improve your business’ maintenance strategy, click on one of our resources below, or book a demo with us to see how the NRX Work Order Analysis can help you make the most out of your historical work order data!
Making Use of that Historical Work Order Data
Understanding Your Historical Work Order Data
Some Common Causes of Inaccurate Work Order Data
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