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Cyber Security in Business Analytics

Cyber Security in Business Analytics

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Cyber Security in Business Analytics

Architect your analytical logic and master the high-performance protocols of modern data-driven engineering. Cyber Security in Business Analytics provides a definitive, intelligence-first roadmap to the most significant shift in data protection and decision-making since the digital revolution. Learn how to move beyond basic data mining to high-velocity, threat-aware discovery—bridging the gap between a standalone business insight and a sophisticated, cyber-resilient ecosystem—ensuring your technical projects are resilient, scalable, and ready for the 2026 global technology landscape.

Note: This is a digital product and the download link will be sent to your email address immediately after payment.

What You Will Learn:

Foundations of Secure Analytics Architecture: Master the core principles of protecting sensitive business data while maintaining high-performance analytical capabilities.

Modern Threat Discovery Workflows: Step-by-step guidance on utilizing Artificial Intelligence (AI) methods for unusual activity detection and predicting potential risks in e-commerce and e-banking.

Scalable Risk Patterns: Discover how to utilize data-driven decision-making while safeguarding organizational assets through robust risk assessment protocols.

Strategic Security & Ethical Integrity: Learn advanced techniques for maintaining information security within your analytics pipelines, protecting against data breaches and ensuring the technical agility of your ethical data handling.

Who This Book is For: This professional-grade guide is essential for Business Analysts, Cybersecurity Specialists, and Data Scientists. It is an invaluable resource for any technical lead—including those building highly secure, data-intensive graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, evidence-based software and system delivery.

Product Details:

Format: Digital PDF Download

Authors: Gururaj H L; B. Ramesh; Chandrika J; Hong Lin

Publisher: Chapman & Hall / CRC Press

ISBN-13: 9781032859415

ISBN-10: 1032859415

 

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