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Flat-style digital illustration showing a woman interacting with an ATM while a man beside her holds a tablet displaying a document icon. Above them are data-related symbols such as a database, checkmark, document, and upward-trending graphs. The background is light beige with navy, orange, and teal tones, and the bottom navy-blue bar features the blog title in bold white text: ‘From Data to Action: How an ATM Data Hub Automates Ticket Management and Transforms Network Operations
Flat-style digital illustration showing a woman interacting with an ATM while a man beside her holds a tablet displaying a document icon. Above them are data-related symbols such as a database, checkmark, document, and upward-trending graphs. The background is light beige with navy, orange, and teal tones, and the bottom navy-blue bar features the blog title in bold white text: ‘From Data to Action: How an ATM Data Hub Automates Ticket Management and Transforms Network Operations
Flat-style digital illustration showing a woman interacting with an ATM while a man beside her holds a tablet displaying a document icon. Above them are data-related symbols such as a database, checkmark, document, and upward-trending graphs. The background is light beige with navy, orange, and teal tones, and the bottom navy-blue bar features the blog title in bold white text: ‘From Data to Action: How an ATM Data Hub Automates Ticket Management and Transforms Network Operations

In a world where uptime defines customer trust, banks can no longer rely on traditional ATM monitoring. Seeing that a problem exists isn’t enough, it needs to be resolved automatically, across complex networks of devices, vendors, and service partners.

Niklas Damhofer

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