Beyond Simple Uptime Monitoring
A logistics company we worked with last year thought their systems were fine because their monitoring showed 99% uptime. But their desktop productivity software was sending incomplete data to their analytics dashboards during busy periods.
The result? Managers were making decisions based on dashboards that showed only 60% of actual transactions. They were understaffing busy routes and overstaffing quiet ones.
We built comprehensive integration tests that caught these data quality issues. Now their dashboards show complete information, and their operational efficiency improved by 23% within three months.