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TL Match – The Solution for Effective Product and Material Master Data Matching
TOLERANT productsIn this episode, we dive into hidden costs of messy product and material data. Hosts Julie and Joe Shiva share how TL-Match transforms chaotic spreadsheets into a single source of truth, reducing duplicate items, cutting costs, and improving the customer’s experience. Learn how cleaner data leads to smarter decisions, happier customers, and a stronger bottom line. Keep your data clean and your business running smoothly.
Moving towards the future together – a look at our week
NewsIt is often not the high-profile projects, but the quiet questions that drive a company forward. Over the past few days, TOLERANT Software has been reflecting on its role as a pioneer for trustworthy data and responsible technology. This weekly review invites you to discover the thoughts behind the tickets.
Accurate customer data guaranteed: 7 steps for an effective duplicate check
Customers, Things to knowA thorough duplicate check is essential to maximize the effectiveness of your marketing and sales activities. An error-free address database forms the foundation for precise analyses and strategic decisions. Therefore, it is important to pay attention to certain aspects during the duplicate check to ensure that customer information is accurate and up-to-date.
Data enrichment for benchmarking: How to improve the quality of your customer data
Customers, Things to knowTo conduct effective benchmarking, selecting the right data sources is crucial. These data sources not only provide valuable insights into your own customer database but also enable comparisons with industry-specific standards. Commonly used data sources include internal and external databases, market analyses, and surveys.
Data cleansing: The key to strengthening customer loyalty and effective marketing strategies
Customers, Things to knowA thorough data cleansing process plays a crucial role in strengthening customer loyalty. Well-maintained address lists and accurate customer master data form the foundation for effective marketing strategies and targeted sales actions. When your customers’ contact information is incorrect or incomplete, it can lead not only to missed business opportunities but also to a decline in your customers’ trust in your company.
Effectively identifying duplicates: strategies for optimising your address data quality
Customers, Things to knowThe identification of duplicates in address data is a crucial step in optimizing data quality. Various methods and techniques exist to effectively find and eliminate these duplicates. One of the most commonly used techniques is similar string searching, which allows for the comparison of records and the identification of discrepancies, even when these arise from typographical errors or different spellings.