Put Data Quality at the heart of your data assets.
Data Stewardship requires that you provide your teams with the means to enhance the value of the company’s data assets and, at the same time, strengthen its data culture.
Your prerequisite for this is to provide all employees with access to qualitative, usable and up-to-date data at all times. But having a data-driven company cannot be a reality when data is heterogeneous, obsolete or unstructured.
The data elements are then difficult, if not impossible, to use. To avoid this difficulty on the customer data front, DQE provides you with all the solutions you need to ensure Data Quality on incoming flows.
Making the most of customer data starts with establishing and maintaining clean, up-to-date, standardized, centralized and merged data. This quality improvement and unification is done both in curative mode on the existing data and in preventive mode on the new data elements that arrive in the database.
DQE allows you to clean up existing databases by identifying any invalid contact information – email, mailing address, phone number. Its solution automatically corrects telephone numbers and mailing addresses that require it, and reports unusable email addresses. It also standardizes customer data to create the most complete and accurate parent record from all available information for each customer. Thanks to this quality improvement, you lay the foundation for the teams to make the most of customer data. It is also beneficial for the brand, especially in its relations with ISPs by reducing the rate of undeliverable emails.
DQE’s verification of customer data accuracy also applies on-the-fly to newly entered information, regardless of the point of contact. So, whether the information is entered directly by the customer in their digital journey, or by your company’s teams, the data entry assistance tools help to correct any error in the data. The quality and reliability of the customer data assets are thus maintained and intact.
In addition to the verified quality of the basic data, DQE allows you to unify customer data according to the merger criteria defined by your company. This fine-tuning and adaptability ensures that the best business line rules are applied to identify duplicates. In addition, the control of duplication thresholds prevents the creation of false duplicates with the risk of merging two distinct records mistakenly identified as the same customer and losing customer data. In terms of governance, you are guaranteed to make a consistent, exhaustive, and readable database available to all users.
With an optimal Golden Record, employees can work with confidence with the company’s customer data and are encouraged to launch new data-driven initiatives. This makes it easier to develop a data culture within the company, as well as innovations in customer data. Thus, DQE’s solutions provide data departments with a major contribution to creating a data-driven company.
Today, input help guarantees data standardization with reliable repositories, in real time in our Dynamics interface. Integration was fast, and field matching was virtually plug-and-play, with no need for specific development. That’s one of the big strengths of the DQE and Masao connector.
Thanks to the Salesforce Service Cloud, Salesforce Marketing Cloud, and DQE modules, our marketing team can provide salespeople with much better qualified leads.
According to an internal survey, DQE is THE solution that 83% of our sales staff can’t live without. What’s more, since we started using DQE solutions, the deliverability rate of our marketing campaigns has risen from 91% to 98.9% in 2022.
In addition to the robustness of DQE technology, the team makes all the difference. There are real technical experts who really understand the business challenges and use-cases. Our Data Quality project is going perfectly.
25,000 email addresses invalidated in the past by ISP servers that were no longer responding could be requalified as existing and reachable. Bip&Go was able to to re-establish contact with these customers, propose new offers and generate additional revenue.
DQE provides us with unified, qualified customer data, a prerequisite for applying our targeting rules on a controlled basis. Today, our email campaigns have improved in terms of deliverability, with a rate of 99%, as well as a better open rate.
DQE has been integrated into our scoring engine for almost a year. Over the period, we have halved the fraud rate and maintained it at the lowest level, while our customer base has more than doubled.
DQE has enabled us to eliminate duplicates on almost 20% of the company records in our Salesforce CRM and maintains our unified customer repository, including the integration of new databases. Harvest thus centralizes customer knowledge as it expands through acquisitions.
With DQE, the assisted entry of postal addresses has reduced the time spent by our customers on the Royal Canin website form by 20%. The result is a better experience at this strategic stage in the purchasing tunnel, and a 5% higher conversion rate.
The quality of the contact data provided to our financial partners has improved the credit application transformation rate by +2% since we started using DQE solutions.
Since we’ve been using DQE’s real-time input qualification, we’ve seen a 20% to 25% dropout rate when creating online accounts.
Thanks to the DQE technology, we have access to a very interesting quality of results. This performance allows us to correctly measure data quality within the BPCE group and all its banking establishments.
Within a few months of the deployment of the DQE entry assistance, our vendors have entered into the database complete and verified data of 20% more additional customers, meeting our recruitment objectives.
DQE helps our customers enter their shipping and contact information quickly and easily. This seamless experience drives conversion rates and controlled entries ensure smooth delivery and addressing operations.
DQE allows us to know the real proportion of duplicates in our database, to deduplicate them and to find the exact number of customers present in the database – fundamental information for the Hess Automobile e-commerce project.
Duplication is a huge challenge in a multi-brand context. With DQE, we can overcome this and, starting from scratch, turn our RCU in Salesforce into a real Golden Record.
DQE is a must-have to restore the quality of a customer database and maintain it in real time. In emailing campaigns, it insures solving the problem of bounces on ISP servers.
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