How Does the Quality of Data Influence Customer Satisfaction?

In an increasingly competitive and digitized business environment, customer satisfaction has become one of the main indicators of success. However, many organizations overlook a critical factor that directly affects this satisfaction: the quality of the data.

According to Experian Data Quality, 91% of companies believe that low-quality data directly impacts their revenue. In turn, Gartner states that the average financial impact of poor quality data on organizations is approximately $12.9 million per year.

What is Data Quality?

The quality of the data It refers to its accuracy, consistency, integrity, timeliness, and relevance. A quality metric is one that correctly represents reality and can be used with confidence in critical processes such as marketing, customer service, logistics, and decision-making.

The Link between Data and Customer Experience

Every interaction with a customer is mediated by data: from the name in a personalized email to the purchase history in a CRM system. If the data is incomplete, outdated, or duplicated, the customer experience suffers.

Specific examples:

• Send promotions to deceased or inactive customers.
• Offering irrelevant products due to incorrect segmentation.
• Delays in deliveries due to incorrectly entered addresses.
• Problems in billing due to errors in tax data.

These situations not only affect the customer's perception, but also undermine their trust and reduce the possibility of repeat purchases or recommendations.

Impact on KPI of Satisfaction and Loyalty

Companies with high-quality data have greater capacity to:

• Personalizing experiences, which increases satisfaction by 20% according to McKinsey & Company.
• Reduce churn by anticipating real needs.
• Increase the efficiency of customer service by having complete and accurate information in real time.

Practices to Improve the Quality of Data

1. Regular data audits. Identify duplicates, inconsistencies, and incomplete records.
2. System integration. Unify scattered data across sales, marketing, service, and billing systems to have a single view of the customer.
3. Automatic validation in captures. Implement controls in forms and registration processes.
4. Training and data culture. Involve the business areas in the importance of capturing data correctly.
5. Data Quality Tools. Solutions such as informatics, Talend o Experian allows you to clean, enrich, and monitor data automatically.

Relevant Use Cases

• Retail: improvements in the segmentation and personalization of marketing campaigns.
• Finance: Regulatory compliance and identity verification in digital onboarding.
• Health: guarantee of accurate information in clinical histories and billing.
• Telecommunications: reduction of errors in portability and the contracting of services.

Investing in data quality is not just a technical decision: it is a customer-centric business strategy. The direct relationship between reliable data and positive experience is clear, and those who prioritize clean, integrated, and up-to-date data achieve greater satisfaction, retention, and sustainable growth.

Do you want to know how to improve the quality of your data and enhance the customer experience? Our specialists can help you develop a Data Quality strategy tailored to your business.