# Enterprise Summary > The starting point: utilization, alerts, efficiency, and performance for every array on one screen. Enterprise Summary answers the first question about any storage estate: where should I be looking? The top of the screen shows how your devices distribute across utilization ranges, where alerts are firing, and how many devices sit in each latency band. If a device is in the red utilization range or the slow latency band, it stands out immediately. ![Enterprise Summary dashboard showing used, usable and free capacity, enterprise alerts, device count by utilization percentage, IOPS and latency totals, and device count by latency](https://visualoneintelligence.com/wp-content/uploads/2026/08/voi-docs-enterprise-summary-dashboard.png) ## What this screen shows - **Summary cards**: total used, usable, and free capacity, percent of usable consumed, enterprise alerts, total IOPS, latency, and throughput. - **Device Count by Utilization**: how many devices sit in each utilization band, so the ones running hot are visible at a glance. - **Device Count by Latency**: the same banding for response time. - **The grid**: every device group with capacity, efficiency, pool, host, and performance columns. ![Enterprise Summary grid listing device groups with data reduction ratio, allocated, used, usable, percent used, orphan space, effective free, pools, hosts, IOPS and latency columns](https://visualoneintelligence.com/wp-content/uploads/2026/08/voi-docs-enterprise-summary-grid.png) ## The four columns worth checking every week | Column | What it tells you | What to act on | | --- | --- | --- | | Data reduction (DRR) | Real efficiency delivered per device: compression, deduplication, and reduction combined | Large ratio gaps between platforms doing similar work | | Orphan space | Capacity that looks used but has no host attached | Reclaim candidates; confirm they are not replication or DR targets first | | Pools | Fragmentation indicator; allocations cannot span pools | High pool counts with free space that may be unusable in practice | | IOPS / Latency | Where the work goes and whether the arrays keep up | Devices carrying heavy workload with poor response time | **Data reduction.** Differences between devices are buying signals: if one platform delivers 4:1 and another delivers 1.3:1, the same purchased terabyte goes four times as far on the first. Some vendor reports inflate this ratio by counting thin provisioning; Visual One counts only the efficiency mechanisms that reduce real consumption. ![Two device groups compared: one delivering 1.27 to 1 data reduction and another delivering 4.42 to 1](https://visualoneintelligence.com/wp-content/uploads/2026/08/voi-docs-data-reduction-comparison.png) **Orphan space.** At typical storage costs it adds up fast: 100 TiB of orphan space at $750 per TiB is $75,000 of avoidable spend. Orphan space is usually reclaimable, with one caveat: replication targets and DR sites legitimately hold storage with no local host, so confirm before reclaiming. **Pools.** A device with 18 pools can show plenty of free space in total while being unable to satisfy a single large allocation. If you keep every pool at 80% utilization, 18 pools means roughly 300% more stranded free space than the same capacity organized into 4 pools. Fewer, larger pools also reduce management overhead on the array itself. ![Free space by disk group pie chart showing free capacity fragmented across many small pools](https://visualoneintelligence.com/wp-content/uploads/2026/08/voi-docs-free-space-fragmentation.png) **Performance.** A device carrying heavy IOPS with the best response time is healthy. A device doing a lot of work with poor response time is the problem to chase. ![Device level IO workload showing one array carrying 234,000 IOPS at 0.22 ms latency, well ahead of the next device](https://visualoneintelligence.com/wp-content/uploads/2026/08/voi-docs-io-workload-devices.png) ![Host level IO view sorted by IOPS with host identifiers redacted](https://visualoneintelligence.com/wp-content/uploads/2026/08/voi-docs-io-workload-hosts.png) > **Tip:** Sort the grid by any of these four columns. The outliers at the top of each sort are the week's questions worth asking. ## Real-world use case A prospective customer received a single note after an initial data collection: the environment held roughly 250 terabytes of orphan space, concentrated on one array and clearly tied to one database platform by the volume naming. The customer investigated, confirmed a cancelled project had left the capacity provisioned but unused, and cancelled a half million dollar array purchase that was already in motion. Reclaimed orphan space is the fastest cost avoidance in storage. ## Related screens Drill from anything here into [All Units](https://visualoneintelligence.com/docs/storage-all-units/) for per-resource detail, [Trends](https://visualoneintelligence.com/docs/storage-trends/) for how these numbers move over time, and [Enterprise Capacity Plan](https://visualoneintelligence.com/docs/storage-capacity-plan/) for when they become purchase decisions. --- Source: https://visualoneintelligence.com/docs/storage-enterprise-summary/