The first panel provides an overview of the maintenance operations and presents Key Performance Indicators (KPIs).

![overview_1.png](LikbdNgp7f1c)
![overview_2.png](iPW8Kl5XwIZ8)

In particular, the analysis evaluates the proportion of planned versus unplanned maintenance. It compares this ratio to the objective you set during the project setup (the default value is 80%).

![planned_unplanned.png](yVQPZWJRYJvz)

This panel also presents the predictive results of the [Multivariate Analysis Model](article:29). Given a certain failure probability threshold (the default value is 75%, but you can adjust this value during project setup or in the [project variables](https://knowledge.dataiku.com/latest/mlops-o16n/variables/concept-introduction-syntax.html)), the model predicts when each piece of equipment will reach this failure probability. You can plan your maintenance based on this risk level and quickly identify if any bottlenecks might occur.

![planning.png](Ff8Q9Yfm4jGq)

The table on the right ranks the equipment by failure prediction, enabling you to prioritize and schedule your preventive maintenance operations accordingly.

On the left, it is possible to filter by equipment and / or maintenance operation.

![filter_1.png](rEQILDbn7Xys) ![filter_2.png](qyLFoIUKQJcb) ![filter_3.png](csVw6OHJg7uX)