The insurance business is a Big Data analytics business, and swelling waves of data from vehicle telematics, consumer POS transactions, and mobile interactions promise new insight to better acquire customers, underwrite risk, fight fraud and settle claims.

  • Big Data is a $2.4 billion industry in insurance in 2018
  • By 2030, half the world’s vehicles will be covered by telematics-based insurance policies
  • 10%, or up to $32 billion, of annual property-casualty insurance losses are due to fraud

Download the RTInsights eBook

The OmniSci Extreme Analytics Platform:
Revamping the Experience of Big Data Analytics

Download

Location and Mobile Services

The Challenge

Location-based metadata can create a wealth of new business opportunity. Yet this stream of data scales too quickly for developers who want to create apps showing relationships between the location of people and equipment to other operational data. Existing analytic engines cannot keep up with the scale and speed of today’s operational data.

OmniSci Solution

The OmniSci Core SQL engine was designed for this new era of location intelligence. It can process billions of rows of structured data in milliseconds and visually render those with the same speed. This dramatically accelerates operational analytics, marrying vital business datasets to mobile location metadata. Because OmniSci Core is open-source, in-house or third-party developers can easily create new apps to deliver analytic apps for exploring layers of operational location data.

OmniSci Customer Case Study

How Skyhook uses OmniSci for location intelligence and insights

RTInsights

Using Extreme Analytcs to Deliver Compettve Insights in Telecommunicatons

OmniSci Video

OmniSci overcomes the data challenges of speed, scale, and real-time interaction, to provide telecommunication carriers instant insights from datasets too big or too fast for traditional analytics platforms.

Rapid Response to Cyber Incidents

The Challenge

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 Solution

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.

Watch OmniSci Demo

See how OmniSci Immerse interactively explores your Google Analytics data

Ponemon Institute

How malware destroys an organization’s reputation and financial stability

eSecurity Planet

Industry experts discuss how AI is shaping the future of IT security