DataQ, checking customer data quality
DataQ is a data quality management solution to check the customer data at each touchpoint in real time and in optmization mode.

DataQ is a data quality management solution to check the customer data at each touchpoint in real time and in optmization mode.
DataQ comprises eight data quality management modules dedicated to checking and optimizing all customer data (B2C and B2B): postal address, email, telephone number, title, and legal information.
To clean and rectify the customer data in your databases via a CSV file to be processed or via “batch” API calls to our technologies.
To facilitate the input of your customers’ information and guarantee its integrity thanks to the integration of our technologies in your forms.
The exponential growth of digital transformation projects is increasing the number of customer contact points. It is therefore essential for companies to ensure data is qualitative from the moment it is collected, before it is integrated into applications.
DataQ and its modules ADDRESS, EMAIL, PHONE, MOBILE ID, and B2B respond to these challenges and provide companies with innovative and efficient technological solutions. These benefit from years of experience gained from daily use by hundreds of companies. In fact, DataQ handles more than 150 million requests per month.
The DataQ modular offering is easily implemented in e-Commerce portals, marketing, CRM or point of sale tools. For data controls, API calls are made in full compliance with the GDPR (General Data Protection Regulation).
To facilitate the implementation of DataQ, DQE offers a wide range of connectors available on the main platforms of the market (Cegid, Adobe Commerce, Magento, JS, etc.). In particular, DataQ is available natively in Salesforce and can be deployed directly via the Appexchange.
DataQ is also available in SaaS mode for curative processing which is then located in the DQE cloud. Priced by the month, DataQ's SaaS offer perfectly meets the expectations of companies wanting to free themselves from any hosting cloud infrastructure at their expense.
A multidimensional quality process
To get the most out of your data and meet your quality objectives, you must constantly improve your database and facilitate contact management. To achieve this, your best solution is a quality management system leaving nothing to chance. This includes quality control of the contact data stored in the database and control of the entries in all data sources.
The validity of the contact data in the database and incoming data are the prerequisites for achieving the highest level of customer information quality. This means you have reliable metadata and reference data available to you, which can be used as a source of information in your various IT tools. This quality is essential to provide relevant customer relations, CRM, and marketing services likely to result in customer satisfaction..
Ensuring real-time data entry accuracy is critical to maintaining consistent quality in the customer database. Integrate input quality with data collected from customers via web self-service or directly at the employee's desktop. In either case, validating the data entry in real time gives you true quality assurance of the entire volume of customer data entering the database.
Minimizing technical debt is one of the advantages setting the best data quality solutions apart. These advantages include a simple integration into the information system without excessive demands on your IT department in terms of data architecture, agility in data processing and corrective actions, data visualization in ergonomic interfaces, and dashboards, without the need for redevelopment.
Qualified data and contact information better guarantee marketing and service operations are properly addressed to customers and prospects. This results in greater reach, more success, and happier customers. Your teams benefit directly thanks to the ability to delight customers with innovated and personalized service based on accurate information.