Kategorie: Customers - Page 2

Did you know that companies can lose millions in revenue each year due to inaccurate address data? The implementation of real-time address recognition is not just a technical necessity; it is a strategic measure to address the challenges of data quality in a digital world. This is where TL Match comes into play—a powerful software capable of intelligently identifying, eliminating, and cleansing duplicate address and master data.

Did you know that up to 30% of the data in many companies is erroneous or duplicated? This can lead not only to inefficient processes but also to significant financial losses. In an era where data is considered the new gold, the importance of maintaining a clean data foundation cannot be overstated.

In der digitalen Welt, in der Daten als das neue Gold gelten, wird die Bedeutung der Zugriffskontrolle für die IT-Sicherheit oft unterschätzt, bis es zu spät ist. Stellen Sie sich vor, Sie haben jahrelang an der Integrität Ihrer Unternehmensdaten gearbeitet, nur um dann zu entdecken, dass unbefugte Personen Zugang zu kritischen Informationen erhalten haben.

Did you know that up to 30% of all customer data in corporate databases can be outdated or inaccurate? This alarming statistic underscores the critical importance of having high-quality data for effective CRM strategies.

In the digital world, where data is considered the new gold, the importance of access control for IT security is often underestimated until it is too late. Imagine spending years working to ensure the integrity of your company data, only to discover that unauthorised individuals have gained access to critical information.

Customer data is the indispensable foundation of many business activities, especially cloud-based ones like Salesforce. But like any foundation, customer data is not an eternally stable affair. Viewed from a sober distance, a large customer database is more like a gently but constantly churning ocean.

How can you tell if business partners are breaking international rules? Württembergische Gemeinde-Versicherung and Tolerant Software show how processes in customer service can be designed efficiently and securely with consistent data quality management.