Which of the following is a common method of collecting big data?

Which of the following is a common method of collecting big data?

• A. Monthly surveys filled out by employees
• B. Web analytics and customer interaction tracking
• C. Sales reports generated by the finance department
• D. Feedback retrieved from in-person interviews

Answer: (B)

Web analytics and customer interaction tracking is a prevalent method for collecting big data because it enables businesses to gather vast amounts of information about user behavior and engagement in real time. This method tracks various metrics, such as page views, click-through rates, and conversion rates, allowing companies to analyze how customers interact with their websites or applications. By leveraging tools that monitor online activities, organizations can collect data on a large scale that reflects consumer preferences, trends, and patterns, which is essential for making informed decisions in marketing and sales. This data can be processed and analyzed to generate insights that drive strategies aimed at improving customer experience and optimizing marketing efforts. In contrast, options like monthly surveys, sales reports from finance, and feedback from in-person interviews tend to yield smaller sets of data and may not capture the breadth of customer interaction effectively. These methods often provide insights but do not facilitate the extensive data collection that characterizes big data initiatives.

Web analytics and customer interaction tracking is a prevalent method for collecting big data because it enables businesses to gather vast amounts of information about user behavior and engagement in real time. This method tracks various metrics, such as page views, click-through rates, and conversion rates, allowing companies to analyze how customers interact with their websites or applications.

By leveraging tools that monitor online activities, organizations can collect data on a large scale that reflects consumer preferences, trends, and patterns, which is essential for making informed decisions in marketing and sales. This data can be processed and analyzed to generate insights that drive strategies aimed at improving customer experience and optimizing marketing efforts.

In contrast, options like monthly surveys, sales reports from finance, and feedback from in-person interviews tend to yield smaller sets of data and may not capture the breadth of customer interaction effectively. These methods often provide insights but do not facilitate the extensive data collection that characterizes big data initiatives.