In this article you will be able to understand and to learn more about the corrective indicators in Infraspeak by filtering information, by grouping it in various ways and by exporting the information worked on. 

The corrective indicators have a direct correlation with the corrective maintenance which differs from the preventive maintenance. With this in mind, let’s see how to manage the information within the Infraspeak platform so you may be able to analyze the information in ways that best suite your business.

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Step by Step

1. Log in to your Infraspeak user account, on the left hand side you will have the sidebar where you can find and click the tab Analytics.

2. Once in the Analytics Menu, select the Work Orders under the Indicators section.

3. Then, filter the data according to what you need by indicating for which client and for which building within the client, you want to analyze. Don’t forget to define the time interval for which you want the information to be provided.

4. The information will be displayed by default but now it’s all about you making the selections you want until you get what you need.

5. In any graphic or numeric information within the Analytics Module you may group the information according to different criteria that may be define by the user itself according to the needs.

Let’s take a graphic regarding the Number of Work Orders by Status.

You may group the information according to different criteria by clicking on the group button.
Then, a new window will appear with the options available:

Let’s say you chose to analyze the data by Location. A new graphic will appear (without erasing the previous one) merging the information regarding the Work Orders by status and their location.

6. Like any graphic and numerical information may be manipulated and grouped with other categories, it is also possible to export any of the data mentioned earlier to an excel file (.xls document). In order to do that, click on the button to export.

More than two criteria may be added when merging information to get a new graphic but, for you to do it, you need to merge primarily two criteria, then merge these two with a third, and so on.