Introduction

In the retail industry, data quality is crucial for making informed business decisions, optimizing inventory, and enhancing customer service. At HEMA, ensuring high data quality supports operational efficiency and customer satisfaction. This section will delve into the fundamentals of data quality and its application in a retail context, highlighting its importance for improving business outcomes.

Learning Objectives

• Define data quality and explain its significance in retail.

• Identify key dimensions of data quality, such as accuracy, consistency, and completeness.

• Recognize common data quality issues faced in the retail sector.