List of Skan Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
AXA Banking and Financial Services 100041 $105.5B France Skan Legacy Skan Platform Process Mining 2019 n/a
Cigna Healthcare Insurance 71295 $244.4B United States Skan Legacy Skan Platform Process Mining 2019 n/a
Citi Bank Banking and Financial Services 230000 $81.1B United States Skan Legacy Skan Platform Process Mining 2019 n/a
Insurance 5600 $5.3B United States Skan Legacy Skan Platform Process Mining 2019 n/a
Professional Services 4509 $781M United States Skan Legacy Skan Platform Process Mining 2019 n/a
Insurance 10665 $12.0B United States Skan Legacy Skan Platform Process Mining 2019 n/a
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Buyer Intent: Companies Evaluating Skan Platform

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FAQ - APPS RUN THE WORLD Skan Platform Coverage

Skan Platform is a Process Mining solution from Skan.

Companies worldwide use Skan Platform, from small firms to large enterprises across 21+ industries.

Organizations such as Cigna Healthcare, AXA, Citi Bank, Unum Group and FM Global are recorded users of Skan Platform for Process Mining.

Companies using Skan Platform are most concentrated in Insurance and Banking and Financial Services, with adoption spanning over 21 industries.

Companies using Skan Platform are most concentrated in United States and France, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Skan Platform across Americas, EMEA, and APAC.

Companies using Skan Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 66.67%.

Customers of Skan Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Skan Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.