Cyber Security in Data Analytics Introduction In today's digital world, data analytics is vital for businesses to gain insights and make smart decisions. However, as reliance on data grows, cybersecurity in data analytics becomes more important. Cybersecurity measures are needed to protect sensitive data from breaches, ensure data accuracy, and maintain trust. This article explains the importance of cybersecurity in data analytics, common threats, best practices, and provides real-world examples. The Importance of Cybersecurity in Data Analytics Data analytics involves collecting, processing, and analyzing large amounts of data, which often includes sensitive information like personal details, financial records, and company secrets. Cybersecurity in data analytics is important because it helps: Protect Sensitive Data : Keeps personal and important information safe from unauthorized access and breaches. Maintain Data Integrity : Ensures that data is not tampered with, so analysis re