Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)
This practical book provides best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)
Бр. на производ: 54334769

Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)

Бр. на производ: 54334769

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This practical book provides best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
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What Stands Out

Practical Guidance
This book provides actionable insights and proven methodologies for preventing fraud and complying with AML regulations, tailored specifically for fintech and eCommerce professionals.
Technical Focus
Utilizes SQL and Python for effective data analysis, allowing readers to implement advanced techniques for fraud detection, making it suitable for both beginners and experienced professionals.
Industry Relevance
Addresses real-world challenges faced by fintech and eCommerce sectors, ensuring that the content remains applicable and practical for current market needs and regulatory demands.

Детали за производот

Discover effective fraud prevention techniques for Fintech and Ecommerce using SQL and Python. Get the key insights to safeguard your transactions. Visit Ubuy North Macedonia.
  • 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
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateApril, 2022
Pages394
Reading levelProfessional & Vocational
Edition1st Edition
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Assembled product height9.13 in (23.2 cm)
Assembled product weight1.4 lb (640 grams)
Bisac subject headingComputers, Business & Economics

Who Should Buy?

Suitable For
  • Fintech Professionals

    Ideal for fintech experts looking to implement robust fraud prevention strategies using SQL and Python analytics.

  • Ecommerce Managers

    Ecommerce leaders can benefit from insights to detect and prevent fraudulent activities in online transactions effectively.

  • Data Analysts

    Data analysts focused on fraud and AML can enhance their skills by applying practical SQL and Python techniques.

Not Suitable For
  • Beginners

    Not suitable for those who lack foundational knowledge in SQL or Python, as it requires prior expertise.

  • General Audience

    Individuals without a specific interest in fraud prevention or ecommerce may find the content too niche.

  • Non-Technical Roles

    Professionals in non-technical roles may struggle to apply concepts effectively without a technical background.

ОПИС НА ПРОИЗВОД

About This Item

Introducing our latest book, "Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python". This comprehensive guide is a must-have for anyone in the fintech or ecommerce industry who wants to stay ahead of the game and protect their business from fraud. With the increasing prevalence of fraud in today's digital landscape, it's crucial for businesses to have effective fraud prevention strategies in place. This book provides valuable insights and techniques to help you detect and prevent fraud, ensuring the safety and security of your customers' transactions. Written by industry experts, this book covers a wide range of topics, including fraud prevention analytics, fraud detection techniques, and AML (Anti-Money Laundering) analytics for ecommerce.

It also explores the use of SQL and Python, two powerful programming languages, to implement fraud prevention measures effectively. Whether you are a fintech professional looking to strengthen your fraud prevention strategies or an ecommerce business owner seeking to safeguard your customers, this book has got you covered. Inside, you'll find practical tips, case studies, and real-world examples that will help you understand the complexities of fraud prevention and equip you with the necessary tools to combat it. By incorporating the knowledge and techniques shared in this book, you will be able to develop robust fraud prevention systems, implement fraud prevention best practices, and effectively analyze data using SQL and Python. Stay one step ahead of fraudsters and protect your business's reputation and financial integrity. Don't let fraud compromise the success of your fintech or ecommerce venture.

Get your hands on "Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python" and take proactive steps towards securing your business today.

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Прашања и одговори на купувачи

  • Прашање: Who is this book for?

    Одговор: This book is ideal for data scientists, data analysts, and fraud analysts.
  • Прашање: What topics are covered in the book?

    Одговор: Topics include current fraud attacks, prevention strategies, and data science methodologies.
  • Прашање: How will this book help businesses?

    Одговор: It provides crucial insights and tools to protect organizations from evolving fraud threats.

Gilit Saporta; Shoshana Maraney All Books Editorial Review

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