Final answer:
Data analytics are used for detecting risk, customer analysis, prediction, and protection against cyberattacks, but not for eliminating volatility. The correct answer is option 3 .
Step-by-step explanation:
Data analytics are used for various reasons, such as detecting risk, customer analysis, prediction, and protection against cyberattacks. However, they are not typically used for eliminating volatility.
Data analytics can help businesses identify and understand potential risks, analyze customer behavior and preferences, make predictions based on historical data, and enhance security to protect against cyberattacks. These applications of data analytics can provide valuable insights and help businesses make informed decisions.
For example, in finance, data analytics can be used to detect potential risks in investments by analyzing historical market data and identifying patterns that may indicate a possible downturn. In marketing, data analytics can be used to analyze customer data and behavior, allowing businesses to tailor their strategies and offerings to specific customer segments. In cybersecurity, data analytics can detect and prevent potential cyberattacks by monitoring network traffic and identifying suspicious patterns or activities.
Therefore, the correct option would be 3) eliminating volatility.