The body of information targeted by Big Data has two primary sources: humans and machines. On one hand, Big Data involves exploring data created directly by people. Social media content, newsletters, blog posts, and other forms of electronic correspondence are actively created by individuals, and when analyzed for patterns and trends can have significant implications for marketing strategies, branding, and customer engagement.
The other, perhaps less glamorous side of Big Data is the “machine” side, which involves indexing and analyzing behind-the-scenes computer-generated data. Well-deciphered machine data can generate useful insights into customer transactions, security threats, fraudulent activity, and application behavior, among ... READ MORE