Final answer:
Exploratory data analysis using cognitive analytics can be helpful in market research, fraud detection, and improving operational efficiency.
Step-by-step explanation:
- Exploratory data analysis using cognitive analytics can be helpful in various business scenarios. Here are three examples:
- Market Research: By analyzing large amounts of customer data, businesses can uncover patterns and trends that can inform their marketing strategies and product development.
- Fraud Detection: Cognitive analytics can help businesses detect fraudulent activities by identifying unusual patterns or anomalies in financial transactions.
- Operational Efficiency: By analyzing data on processes and operations, businesses can identify areas for improvement, optimize workflows, and make data-driven decisions to increase efficiency.