Once KPIs have been active long enough to accumulate enough raw data, they will start to produce values. This can be viewed in both innius insight for Android and innius Insight.
In innius insight for Android
To view KPI data in innius insight for Android, choose the relevant machine and then select 'KPIs' from the menu bar. The KPIs will then be displayed as tiles that show the KPI name, value, and the related time bucket. The KPI state is displayed by the colored block, with dark blue for ‘normal’, orange with an exclamation mark for ‘cautionary’, and red with an exclamation mark for ‘emergency’.
On each tile there is also a conversation button, which allows you to view or start conversations with other users about that particular KPI.
Clicking on a tile allows you to view more detailed KPI data.
Upon opening the detailed data page, the KPIs, MTBF and MTTR, will display a value based on all received data up until the latest point on the displayed time bucket. Moving the point along the graph will display the value up until that given point.
The detailed data page for the KPIs, OEE and EE show the value calculated for displayed time bucket, either hour, day, week, month, quarter or year*. This time bucket is stated below the value and displayed on the graph below. Again, moving the point along the graph will display the value at any given point. Below the graph, and only for the time buckets, hour, day and week, there is also the option to display shifts on the graph.
Specifically for the OEE, the availability, performance and quality are also displayed for the selected time bucket and whichever one is selected is shown on the graph as a teal colored line. At the bottom of the screen the OEE, availability, performance and quality are also shown in bar graphs per shift.
If you have set KPI targets, and these haven’t been met for the previous 24 hours, then daily notifications will also be sent to your Android mobile device.
In innius Insight
To view KPI data in innius Insight, choose the relevant machine and then select 'KPIs' in the options menu. The KPIs will be displayed by default as a list. For each KPI the options menu allows you to go to the KPI configuration page or to the data details. You can also see which KPIs have been configured, as these are shown as ‘Active’. KPIs which haven’t been completely configured are shown as ‘Not defined’.
By using the radio buttons you can switch to tile view, which displays the KPIs in a similar way to innius insight for Android. The KPIs will then be displayed as tiles that show the KPI name, value, and the related time bucket. The KPI state is displayed by the colored block, with dark blue for ‘normal’, orange with an exclamation mark for ‘cautionary’, and red with an exclamation mark for ‘emergency’.
Clicking on a tile takes you to a page displaying data details page. In the top left you'll still see the tile, with selection buttons either side to switch to other tiles. At the top, the KPI name and description are also displayed, together with a button to the configuration page. The KPI data itself is shown in a graph below, in time buckets of either a day, a week or a month*. If thresholds have been configured, these will be shown as labelled lines on the graph. Moving the mouse over data points on the graph, will display the KPI value at that given point. Under the graph the time selection is displayed, and this can be changed using the arrow buttons on each side. If shifts have been configured these can be selected and displayed on the graph using the drop down menu at the bottom of the page. The shifts are then displayed in various colored blocks on the graph, with the shift name at the top of each.
Again, the KPIs, MTBF and MTTR, display a value based on all received data up until the latest point on the displayed time bucket. Whereas the KPIs, OEE and EE show the value calculated for displayed time bucket, either an hour, day, week, month, quarter or year*.
*By default, a time bucket shows data results up until the current point in time. So the time bucket for a year shows the last 365 days, from today's date; and so on. Each time bucket can be scrolled along as desired.