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Discover why digital sovereignty is a strategic priority for governments and businesses. Beyond infrastructure, it relies on accurate, unified, and trustworthy data, making Data Quality a key driver of a sustainably sovereign asset.

In many customer relations scenarios, the postal service is still the channel of choice. However, delivery failures are costly and degrade customer experience and confidence.

Are your campaigns missing the mark? Are your KPIs telling different stories? What if the real issue lies in your data? Discover the 9 key dimensions to turn data quality into a true performance driver.

Increasing volume, speed, and types of data: the amount of data is ever multiplying, and with it, pressure for personalisation and compliance. As well, to maintain control of data, businesses are turning to Master Data Management to break open silos and automate governance processes.

Agentforce projects carry a strong promise: to automate processes and improve efficiency within the CRM. But without reliable and well-structured data, even the most advanced agents cannot reach their full potential.

Turning scattered data into real business opportunities is a major challenge. CRM, e-commerce, sales, marketing, data, and IT leaders all stand to gain from properly qualifying their data to maximise its value.

Clienteling is one of the best ways to turn every interaction into satisfaction chance to delight your customers, provided it is based on customer information that is accurate and reliable.

Deploying Data Quality within a company is a “project within the project”. DQE’s client companies have successfully met the challenge. Discover how satisfied they are with the solutions implemented.

Surveys on data quality show multiple problems in companies that have not made efforts to cleanse their customer data. Awareness is growing, but 59% of brands still do not measure the quality of their data. However, qualifying customer data helps avoid many problems.

When companies validate their customers’ contact data, the range of benefits is extensive! Several DQE clients have shared with us the evident benefits of using our contact data qualification and deduplication solutions.

Duplicate and inaccurate data buildup happens fast. Without proper checks and balances, your CRM data could become a pit of quicksand full of messy, wrong contact info. Avoiding this disaster is the key to making your CRM work for you.

Data quality is the basic foundation of a data-driven company, data quality requires real management to be applied at all levels. Here are 3 pitfalls to avoid in order to properly control data quality management.

On Salesforce Ben, discover this insightful article by DQE titled: Why Data Governance Could Be Your Key to Sustainable Data and Maximizing AI Efficiency.

As the volume of data that companies handle increases every year, it becomes increasingly difficult for organizations to identify duplicates and maintain high data quality. While Salesforce’s native deduplication tools are somewhat limited, there are excellent third-party applications available to help address and prevent duplicate entries.

Put the lie to the statistics according to which half of all Internet users have already given up on a purchase because of a form to be filled out!

Applicable from January 1, 2024 the Corporate Sustainability Reporting Directive (CSRD) sets new standards and obligations for non-financial reporting. What are the objectives of the CSRD and what information has to be provided?

Building customer loyalty means keeping in touch over the long term, and getting to know customers in order to better recognize them. Data quality management optimizes several levers of customer engagement by guaranteeing reliable and unified data, which fosters customer loyalty.

In an increasingly complex digital ecosystem, leveraging customer data requires that it be centralized, qualified and unified. How does this all add-up? Here’s an overview of the fundamentals in 6 key questions.

Defining what constitutes a qualified contact data according to your company’s use cases is a crucial step. An overview of key considerations that fuel reflection for four professions – marketing, retail, customer service and CRM, data and digital professions.

Your marketing department’s objectives necessarily include seeking to make campaigns profitable, knowing customers well in order to properly communicate with them, and pushing qualified and reachable leads to the sales force. To meet these three challenges, it is imperative that you have reliable and actionable customer data.

Data Quality helps advance the culture of customer data through two main strengths: the best practices it spreads and its compelling results.

Any customer database is prone to duplicates, with significant implications for clienteling, customer experience, and employee experience. Several common errors account for this phenomenon.

The truthfulness and accuracy of customer contact data is at stake as soon as it is entered! With real-time Data Quality, this step becomes reliable and fluid for customers and consultants in the branch.

An overview of 4 international Data Quality challenges to rely on customer data and provide a premium experience across all countries.

In an omnichannel purchasing journey, the customer experience must be consistent and engaging from start to finish. Qualified customer data is essential to bring consumers through to the transaction.

A customer database would contain nearly 30% outdated information within a year and incorrect contact data. Let’s revisit the fundamentals to ensure Data Quality of this foundational customer knowledge.

In the era of multichannel, when achieving a 360-degree view of customers seems like an impossible mission, it remains to identify the obstacles and the means to overcome them. Data Quality holds more than one asset to meet the challenge.

The Black Friday has become a major event with customers for retail. This date offers a strategic opportunity to to collect and customer and prospect data to improve customer relations, better target the consumers and engage throughout the year.

Thanks to Data Quality, the value of customer data soars. When it is qualified and unified, data becomes a reliable asset with multiple benefits for business lines, decision-makersand customers.

A data quality solution must be accompanied by real support and offer a number of guarantees to put your data quality project on the right track for the long term.

The proportion of inactive customers is on average between 20 and 50% of a database – customers who no longer respond to the company’s requests.

Data quality in the customer repository is a universal issue, and dealing with duplicates is an integral part of data quality management.

Retaining top talent is critical in winning new deals and maintaining customer satisfaction. Without the proper tools, including quality data, businesses run the risk of losing valuable personnel to burnout or better opportunities.

In retail, qualifying customer data as soon as it is entered into contact forms brings multiple benefits in customer service and experience.

Since the indirect sales model requires it, first-party customer data is a sought-after asset in the industry.

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.