Skip to main content

The Importance of Data Quality for a Data Centric Way of Working

The Importance of Data Quality for a Data Centric Way of Working

Based on a recent Statista survey from 2023 conducted among loyal customers worldwide, the main purchase factors are: a plentiful product range (81%), product availability (80%), data privacy policy (79%), and good customer service (77%). 

It is clear that an accurate understanding of the customer experience is of great importance. To effectively monitor customer experiences and make informed decisions, you need reliable data for information and insights. Adopting a data centric way of working is the way to achieve this.

Ultimately, data provides you and your teams with information and customer insights to improve the customer experience. To observe your customers' behavior and use this knowledge to refine the customer journey, you must rely 100% on data. Employing a data centric approach where everyone relies on customer data is essential. 

This article delves deeper into various common risks associated with maintaining data quality. It also covers the necessary conditions for its preservation, such as effectively managing data privacy and compliance, and the criteria for establishing a data centric organization.

[Rest of the text remains unchanged]

Related articles