Argyle Data
Computer Software, 1501 W Yamato Rd, San Mateo, California, 33431, United States, 11-50 Employees
Phone Number: +15*********
Who is ARGYLE DATA
Argyle Data uses Hadoop and machine learning to help mobile operators fight the $46 billion mobile fraud problem. Argyle Datas system is used by some of the worlds largest mobile operator...
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Headquarters: 1501 W Yamato Rd, San Mateo, California, 33431, United States
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Date Founded: 2007
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Employees: 11-50
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Revenue: $1 Billion and Over
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Active Tech Stack: See technologies
Industry: Computer Software
SIC Code: 7372
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NAICS Code: 513210 |
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Frequently Asked Questions Regarding Argyle Data
Answer: Argyle Data's headquarters are located at 1501 W Yamato Rd, San Mateo, California, 33431, United States
Answer: Argyle Data's phone number is +15*********
Answer: Argyle Data's official website is https://argyledata.com
Answer: Argyle Data's revenue is $1 Billion and Over
Answer: Argyle Data's SIC: 7372
Answer: Argyle Data's NAICS: 513210
Answer: Argyle Data has 11-50 employees
Answer: Argyle Data is in Computer Software
Answer: Argyle Data contact info: Phone number: +15********* Website: https://argyledata.com
Answer: Argyle Data uses Hadoop and machine learning to help mobile operators fight the $46 billion mobile fraud problem. Argyle Datas system is used by some of the worlds largest mobile operators to gain real-time visibility into revenue threats and attack patterns. On average, such attacks cost the mobile communications industry 2% of revenue, or an estimated $46 billion a year. Argyle Data provides a real-time revenue threat analytics application built natively on Hadoop using the latest machine learning and anomaly detection technology to identify fraud at scale. This enables operators to detect previously undiscoverable fraud in minutes rather than hours or days, discover both new and old fraud attack patterns, and dramatically reduce false positives, saving millions of dollars. Argyle Data currently offers native Hadoop applications for fraud threat analytics, profit threat analytics, SLA threat analytics, and forensic threat analytics.
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