Where I work individual PCs were going down every week. The most common problem was malware. I added a firewall at the router and anti-malware (scan on access + internal firewall with checksums on applications) but still the mean time before failure of PCs due to that other OS failing was just a few months. When I had re-imaged one user’s PC the third time, I decided I had had enough. I began putting GNU/Linux on desktop PCs that failed. I installed it on all students’ PCs and most of the new PCs we acquired. Downtime has disappeared. In the past 6 months I have had a couple of cases of /home not mounting (a typo in /etc/fstab, my fault) and a confused BIOS (cycling the power cleared that problem). I have not had to re-image any GNU/Linux machine. I have time to do my day job and to give plenty of thought to expanding IT without fear of bogging down in problems.
Downtime is a serious problem in industry. You cannot avoid it completely but I found switching from that other OS on the desktop really reduced downtime here. The killers seem to be time to recover from a failure, frequency of failures and critical bottlenecks that affect large parts of the infrastructure. Redundant system and reliable systems should take care of most of that.
In my own organization that fits in one building I can envision several levels of disaster. Failure of a server could be recovered in 15 minutes or so, the time to swap equipment and boot. I have two servers and manual backups for both. Some data could be lost on both cases but that would not kill us because the really critical data is on clients. Larger organizations like those in the study linked above had average downtimes of six hours and a further four hours before all applications were up to date. It does take hours to rebuild RAIDs or to restore from backups. I am fortunate to be small and with immediately available redundant hardware. No need to direct an army of techs or to do long restorations.
With such a high cost of failure one wonders why anyone would use that other OS when it is so much more likely to fail.