Smart meters have given public utilities at least 1,000 times more data on how electricity is generated, distributed and consumed. Yet the volume and speed of that new smart meter data swamps their legacy analytics platforms. Slow, incomplete insight stymies industry innovations like time-of-use pricing and net metering.
Households use different amounts of electricity every hour, and demand fluctuates. Changes to weather, demographics, pricing schedules and many more factors drive the difference between electricity production and consumption. OmniSci helps utilities research past consumption and make operational decision to balance the grid.
Unauthorized intruders infiltrate systems of national governments and global corporations by hiding their tracks across identities, devices and behavior. Teams in Security Operations Centers (SOCs) receive countless incident alerts, but most are false alarms, so SOCs waste thousands of hours a year investigating those. When an actual attack has occurred, slow analytics across fragmented data make it harder for security teams to identify and patch vulnerabilities before more data is compromised.
OmniSci's zero-latency visual analytics don't require pre-aggregation. In this cat-and-mouse game, that speed gives security analysts immediate insight. They can perform hundreds of queries in quick succession, without losing access to any granular information. SOC teams can investigate far more cyber alerts every day, and when they do find a vulnerability they have the data they need to apply the right patch quickly, maintaining an ongoing patch cadence that deters future attacks.