Blog

Welcome to the DQE Data Quality blog!

Our blog provides a digest of articles that decode Data Quality to make customer data more powerful on the digital, marketing, CRM, clienteling and retail fronts.

Articles

The 9 dimensions of data quality: why you should keep a close eye on your customer data

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.

October 22, 2025

The 9 dimensions of data quality: why you should keep a close eye on your customer data

September 17, 2025

MDM without data quality? A recipe for failure.

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.

August 29, 2025

Data Quality: the invisible foundation of your Agentforce projects

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.

June 25, 2025

Sales performance in the omnichannel era: data quality is no longer optional

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.

June 02, 2025

In retail, clienteling has everything to gain from data quality

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.

April 18, 2025

Data Quality: A trusted partner ensures customer satisfaction

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.

March 18, 2025

5 universal strategic challenges that can be solved by data quality

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.

January 21, 2025

Our Clients Speak Out: The Tangible Benefits of Data Quality

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.

November 28, 2024

Data quality, vector of success for AI use cases

AI must be trained with relevant and reliable data in order to deliver convincing results in its applications. That’s why, when customer data comes into play, the first thing to do is to qualify the elements of its foundation, i.e. customer contact data. What is at stake is the reliability of AI results, user confidence, and successful use cases.