In 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.
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Well-maintained address lists and customer master data are the foundation for successful marketing and sales initiatives. Furthermore, an error-free address database is crucial for meaningful analyses and statistics. Only then can you make operational and analytical decisions that drive your business forward. Therefore, it is essential to regularly conduct a duplicate check to identify duplicates and clean up the addresses.
Well-maintained address lists and customer master data are the foundation for successful marketing and sales initiatives. Moreover, an error-free address database is crucial for meaningful analyses and statistics. Only with accurate data can you make operational and analytical decisions that propel your business forward. Therefore, it is essential to regularly conduct duplicate checks to identify duplicates and clean the addresses.
With TOLERANT Match, you can optimize your customer search and ensure reliable duplicate cleansing. Well-maintained address lists and customer master data are not only crucial for effective marketing and sales actions but also for precise analyses and statistics.
Data cleansing is an essential process aimed at ensuring the integrity, accuracy, and consistency of customer data. To keep your address lists and databases current and error-free, several steps should be followed.
TOLERANT Match 12.0 is here – and it has everything modern companies need for efficient matching, clean data cleansing and powerful cloud integration. In addition to a revised architecture, new monitoring functions and increased performance, the release also includes a highlight for users: a revamped multi-level search that significantly improves the quality and structure of results.
In a podcast interview, TOLERANT Software Managing Director Stefan Sedlacek revealed how fault-tolerant search works in data quality tools and the technology behind it. The podcast interview was conducted by Ashley Steele. You can read an excerpt from the interview here.
TOLERANT Software uses AI-based associative memory technology for the error-tolerant search for duplicates. The TL Match data quality tool from TOLERANT Software thus finds duplicate data records even if they are spelt differently.
The half-life of customer data is seven years on average. This means that after seven years, half of the data is already out of date, for example because customers have moved house, got married or taken out a new telephone contract. The data quality tools TL Match, TL Post, TL Name, TL Move and TL Bank from TOLERANT Software considerably increase the half-life of customer data.
The duplicate checking tool TL Match has been released in a new product version. The release TL Match 11.2 provides the user with a more flexible license design and new options for field assignment. Among other things, 429 million different single values can now be mapped and searched sharply. That is more than 16 times as many values as in the previous version of TL Match.
Contact us.
We will be happy to help you with your data quality issues.
TOLERANT Software
GmbH & Co. KG
Büchsenstr. 26
70174 Stuttgart, Germany
Phone: +49 711 400 4250
Fax number: +49 711 400 425 01
info@tolerant-software.de
www.tolerant-software.de