Causata

Causata is an enterprise software company based in San Mateo, California, United States with development offices in London, England, UK. It provides software which is used by business-to-consumer marketers to manage interactions with customers.[1][2] The company launched the fourth version of its products in February, 2013.

Causata
Private
Industrycustomer experience management software
Marketing automation
Founded2009
HeadquartersSan Mateo, California, USA
London, UK
Key people
Paul Wahl
ProductsSoftware application
Computer software
Websitewww.causata.com
@Causata

Corporate history

Causata was founded in 2009 by Paul Phillips and opened its first office in London, England, UK. The company opened its San Mateo, California office in 2011. CEO Paul Wahl, a former CEO of SAP America and former COO of Siebel Systems, joined the company in March 2012.[3][4] Causata has received $23 million in venture funding from Accel Partners London, the Series C round coming in Feb. 2013.[5][6][7][8]

In 2013, Causata was acquired by NICE Systems.[9]

Products

Causata's software uses HBase, the NoSQL database on the Hadoop Distributed File System.[7][10] It has industry-specific applications for cross-sell, acquisition, and retention to enable marketers to personalize web and mobile interfaces, operate email and mobile messaging campaigns, enable targeted advertising and create context-driven sales and service.[2]

  • The Identity Graph algorithms use first-party online and offline customer data to combine customers' identities and event timelines.
  • The Predictive Profile compares individual customer paths and histories against each other to predict customer intent. Machine learning algorithms based on reinforcement methodologies build real-time predictive analytics models for individual customers.[11][12]
  • Decisioning serves targeted offers, promotions and ads to potential customers, based on information gathered by the previously mentioned analysis.[10]
gollark: I mean it doesn't do character-level stuff well compared to other tasks.
gollark: This is also believed to be why it can't do addition very well - it improves if you separate the digits with commas.
gollark: "Utterly unable" is a stretch as it can do it somewhat, but not well compared to other stuff.
gollark: While it's very simple it's also terrible as it makes the model utterly unable to understand character-level stuff like rhyming, and it makes it slightly worse at a lot of other generalization.
gollark: The tokens are 16-bit ints.

References

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