Practical Fraud Prevention - Saporta, Gilit; Maraney, Shoshana; - Prospero Internetes Könyváruház

Practical Fraud Prevention

Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python
 
Kiadás sorszáma: 1
Kiadó: O'Reilly
Megjelenés dátuma:
Kötetek száma: Print PDF
 
Normál ár:

Kiadói listaár:
GBP 52.99
Becsült forint ár:
26 818 Ft (25 541 Ft + 5% áfa)
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Az Ön ára:

24 136 (22 987 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 2 682 Ft)
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
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Beszerezhetőség:

Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
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  példányt

 
Hosszú leírás:

Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.

Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.

With this book, you will:

  • Examine current fraud attacks and learn how to mitigate them
  • Find the right balance between preventing fraud and providing a smooth customer experience
  • Share insights across multiple business areas, including ecommerce, banking, cryptocurrency, anti-money laundering, and ad tech
  • Evaluate potential risks for a new vertical, market, or product
  • Train and mentor teams by boosting collaboration and kickstarting brainstorming sessions
  • Get a framework of fraud methods, fraud-fighting analytics, and data science methodologies