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TL Match 12.2
EditorialReliable data processes require not only high-performance matching algorithms, but also a stable technical foundation. With TL Match 12.2, TOLERANT therefore focuses primarily on the areas that matter most in day-to-day productive use: stability, operation and administration.
Duplicate matching: The key to high-quality address data and greater transparency within the organization
Customers, Things to knowThe duplicate matching process is a crucial procedure that not only enhances the quality of address data but also contributes to transparency within your organization. By identifying and eliminating duplicates, a consolidated and reliable data foundation is created, enabling precise analyses and informed decision-making.
The benefits of continuous duplicate management: Greater efficiency for sales and marketing
Customers, TOLERANT productsThe optimization of processes for duplicate prevention is crucial to ensure the efficiency and accuracy of your customer databases. A systematic approach to duplicate reduction can not only enhance the quality of your data but also improve performance in sales and marketing. By implementing structured processes, you enable proactive monitoring and cleansing of customer data.
Data enrichment: The key to optimising your customer information and marketing strategies
Customers, Things to knowData enrichment is a critical process that enables companies to optimize their customer information and create added value. There are various methods to effectively enrich data, all aimed at improving the quality and relevance of customer data while ensuring seamless integration into existing systems.
Innovative solutions for address management: TOLERANT Match to boost your marketing efficiency
Customers, NewsThe identification and avoidance of address duplicates is a crucial factor for the efficiency of your customer management processes. Duplicates in address lists often lead to unnecessary costs and dilute the quality of your marketing and sales efforts. With the innovative solution TOLERANT Match, this problem is a thing of the past.
Avoiding errors in address data management: top tips for businesses
Customers, Things to knowAn effective address data cleansing process requires the application of best practices to ensure that customer data is accurate, up-to-date, and complete. First, companies should conduct regular audits of their address lists to identify potential issues early on. These audits should focus on identifying duplicates, incomplete, or incorrect addresses.