Skip to Content

How Does the Customer Complaint Analysis Project Use Hadoop to Improve Business Insights?

What Is the Main Objective of Customer Complaint Analysis in Hive and Pig Projects?

Learn the core goal of the Customer Complaint Analysis project in Hadoop, Hive, and Pig—analyzing and categorizing customer complaints to gain insights that improve business decisions and customer satisfaction.

Question

What is the primary goal of the Customer Complaint Analysis project?

A. To analyze and categorize customer complaints for insights
B. To evaluate inventory management efficiency
C. To track delivery performance across regions
D. To calculate total sales across different stores

Answer

A. To analyze and categorize customer complaints for insights

Explanation

The primary goal of the Customer Complaint Analysis project is to process large volumes of complaint data using Hadoop ecosystems like Hive and Pig to extract actionable insights. This involves identifying common issues, categorizing types of complaints, detecting recurring problems, and understanding customer sentiment. The outcome supports decision-making by revealing service or product areas needing improvement, helping organizations enhance customer satisfaction and operational efficiency through data-driven strategies.