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A false positive is an alert, which after investigation, turns out to be a false alarm; an alert that is triggered when the monitored device is, in fact, operating as expected.
To understand the impact of false positives on an organization, one must look at the activities undertaken when processing an alert.
Consider an example from one of our customers:
Incident finished, let’s move on to the next ….
Total time of the operation: between 20 and 30 min, 2 people affected.
Cost of the operation: around 20 €
Imagine 20 false positives a day… that cost could be equivalent to 1 full time employee!!
In ServiceNav, we implemented several solutions to limit false positives and allow teams to focus on real service impacting events:
And as the ad would say: “And it’s not over…”
In the coming months, thanks to our BigData stack implemented since version 4.0, we will come forward with further innovative solutions to reduce false positives.