About the guide
Data Quality Management is a critical component of delivering an excellent customer experience. It ensures that customer data is accurate and complete, which can be used to extract valuable insights. These can then be used to uncover any pain points or inefficiencies along the customer journey, so that they can be addressed in a timely manner, enhancing the customer experience and fostering loyalty.
In the first section of the guide, we define the criteria of high quality data and provide an outline of our Data Quality Management Methodology. Next, we dive into customer matching, its importance in preventing duplicates, and our methodologies for matching and merging. In the final section, we discuss the importance of capturing data from all customer touchpoints and provide a data model mapping methodology. With an understanding the importance of customer data quality and an overview of our data quality best practices and methodologies, we aim to help your organization achieve data quality excellence, to gain valuable insights and enhance the customer experience.