### Examples with Ready-Made Responses in English:

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### **Example 1**

**Request:**
Provide a brief description of the data source for **sales_data**.

**Response:**
“The **sales_data** dataset contains detailed records of all transactions made by customers across various product lines. It includes key information such as transaction dates, product IDs, quantities sold, and sales revenue. The dataset is updated in real-time, sourced directly from the company’s point-of-sale systems and e-commerce platforms, providing an accurate and up-to-date view of sales performance.”

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### **Example 2**

**Request:**
Provide a brief description of the data source for **customer_feedback**.

**Response:**
“The **customer_feedback** dataset is compiled from survey responses, online reviews, and direct feedback submissions from customers. It includes satisfaction ratings, comments, and suggestions, offering valuable insights into customer experience and product/service performance. This data is collected via automated surveys sent after transactions and through integrated feedback forms on the company website.”

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### **Example 3**

**Request:**
Provide a brief description of the data source for **website_traffic**.

**Response:**
“The **website_traffic** dataset tracks user activity on the company’s website, including page views, session duration, bounce rates, and traffic sources (organic search, paid ads, social media, etc.). Data is collected using web analytics tools such as Google Analytics, providing detailed insights into user engagement, behaviors, and the effectiveness of digital marketing campaigns.”

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### **Example 4**

**Request:**
Provide a brief description of the data source for **employee_performance**.

**Response:**
“The **employee_performance** dataset captures performance metrics across departments, including individual goals, productivity levels, and key performance indicators (KPIs). It is sourced from internal performance review systems and project management tools, offering a comprehensive view of employee effectiveness and departmental achievements over time.”

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These descriptions clearly convey the purpose and key details of each dataset, ensuring that the audience understands its role in the business intelligence ecosystem and how it contributes to data-driven decision-making.