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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.