Continuous Data Analysis

Translate Data Into Knowledge Using Machine Reasoning.

Continuous Data Analysis (CDA) connects facts and relationships, creating awareness and enterprise knowledge. It’s not about Big Data, it’s about Connected Data.
WHY CDA?

Agree on the Facts

Big Data Platforms are Complex. The business doesn't speak in terms of servers, protocols, applications, and networks. AI-driven analysis creates stories that bridge communication gaps so issues are easily understood by all.
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Analysis Without Paralysis

Don’t just collect data points–connect them. Current analysis methods don't scale to keep pace with growing data volumes. Automating discovery of relationships in your data changes the analysis process and minimizes analyst workload. Identify the source of any issue in record time.
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Simplify Data Platform Management

Deploying and managing your big data infrastructure is complex and resource intensive. Efficient platform management is the key to scaling analysis as data volumes grow.
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trusted by organizations worldwide
What our customers are saying

“We were able to far exceed our Splunk Enterprise initial deployment project timeline due to Gemini, and that pleased management”

-IT Network Operation, Major Healthcare Provider

"We achieved in one week what basically would have taken several months to setup.”

-Information Security Leader, Financial Institution

“This is way faster than previous methods for an incident investigation case. The story combined with the elements and relations is exactly what I need to investigate an incident quickly.”

-Researcher, National Center for High Performance Computing

See Gemini Enterprise in Action.

News and Events

  • Australian Cybersecurity Center (ACSC) | Canberra, Australia
    April 10-12

  • SplunkLive NYC | New York City
    April 12

  • IT Leadership Group | London, UK
    April 17th

  • GEOINT | Tampa, Florida
    April 22-25

  • SplunkLive Chicago | Chicago, Illinois
    May 7

  • AFCEA Defensive Cyber Operations Summit | Baltimore, Maryland
    May 15-17

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