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The 9 dimensions of data quality: why you should keep a close eye on your customer data
The world of the media and the press is one that is constantly evolving, and it does so at high speed! To offer customized service to a changing clientele, qualifying and unifying customer data helps companies stand out.
In the automotive environment, with its multiple points of contact, mastering CRM data without Data Quality is a challenge. Let’s take a look at 3 key issues.
Data quality contributes to facilitating a key step of the digital journey: inputting information on contact forms.
The performance of the CRM tool is closely correlated to the quality and reliability of customer data. Handling data quality in the CRM is a priority.
After a year of significant transformation in 2022, DQE has acquired the means and the strength to be a leader in the dynamic Data Quality market in 2023. Stéphane Donders, CEO of DQE, provided the following analysis.
“At DQE, we have a vast domain of investigation to test new technologies, get hands-on experience with tools, and increase our skills.”
The expectations of customers in terms of personalization of the service received by the brands, and the assets of Data Quality to meet them.
For the majority of customers, the quality of the service they receive is decisive when making a purchase. Providing them with fast, relevant answers is therefore strategic. Data Quality facilitates the task of representatives, as illustrated by three common use cases in customer service and call centers.
The DQE algorithm is part of its trademark and has allowed us to be forerunners in Data Quality since 2009.
In the era of omnichannel shopping, the siloed vision of retail that would separate physical points of sale and e-commerce no longer makes sense. On the way to smart retail!
Reliable and verified customer data reduces the possibility of misappropriation from the moment of connection and at every stage until the purchase is completed. The result is that losses of huge amounts of money can be avoided.
Collecting customer data in a physical store often seems more complicated than online: slowing down the checkout process, errors in entering information… In 5 tips, collect customer data more easily and more quickly in store.