TL Match

Pictogram TOLERANT Match

Duplicate matching, data cleansing and addresscleansing for address lists and customer data

Well-maintained address lists and customer master data are the basis for successful marketing and sales campaigns. In addition, an error-free address database is crucial for meaningful analyses and statistics. This is the only way to make operational and analytical decisions that drive your business forward. Therefore, it is important to perform a duplicate check on a regular basis to find duplicates and clean up addresses. With TL Match you can find these duplicates in an automated, accurate and error-tolerant way.

Fast and error-tolerant search

TL Match finds address data, products and customers quickly and accurately even in large data sets and even if only fragmentary information is available. The special technology in TL Match also allows you to combine different search options.

Pictogram TOLERANT Match

Merge customer data from different sources in a clean and error-tolerant way

Legal requirements for data protection make it increasingly difficult to use external data sources for customer data. This makes it all the more important to maintain the high data quality of your own address databases. Addresses must be correct: Only if your customer data is clean can you utilise and deploy it effectively. But the volume of data is inevitably growing. And often customer data has to be maintained and matched in different systems or databases in parallel. With TL Match you can easily merge data from different sources without duplicates.

Accurately find duplicates with TL Match

TL Match finds what belongs together. The easy-to-use software works accurately and error-tolerantly. Powerful search algorithms find data records that match already during data entry, but also during subsequent address cleansing or matching from multiple sources. TL Match’s error-tolerant search takes into account spelling or typing errors in names and addresses as well as different spellings. In addition, you can adapt TL Match to your needs and requirements at any time. For best results, clean data and duplicate-free address databases.

Some examples

RECORD NAME STREET POSTAL CODE TOWN/CITY
query Alex Schepanski Margretenstr. 9 Muenchen
result Alexander Sczepansky Margretenstr. 7 80331 München
query Christina Maier Bachstr. 1 Weissach
result Kristina Meyer Bachstr. 1 71287 Weissach


What is behind the duplicate check?

If databases are not up to date, the time and effort required by a company’s employees increases considerably. Duplicates in particular are becoming an increasing challenge. Keeping track of and clearing up duplicates in large datasets requires a great deal of effort. If you want to improve data quality, a regular duplicate check is required. The aim of duplicate cleansing is consistent data cleansing. Duplicates in address data are identified, checked and deleted if necessary. One of the core objectives is to merge the details of duplicates so that all information on a customer is actually available.

Advantages of the duplicate check

In general, you should regularly carry out data cleansing in your company in order to avoid confusing and bloated databases. The best time to do this is when entering customer data. This saves time and keeps the database clear in the long term. For your company’s employees, efficient and sustainable data cleansing means significant time savings and greater efficiency in project management.

Software helps to improve data quality

Data cleansing no longer has to be done manually. Modern software makes this much easier and saves a significant amount of time. When cleansing data, it is important that you look for programs that are easy to use, have a clear structure and can be operated without lengthy training. A duplicate check should be carried out regularly by companies regardless of their size. The decisive factor here is how extensive the company’s databases are. If you are looking for efficient software for data cleansing, please contact us! We will show you the advantages of our system!

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  • Different search field types for different tasks
  • Powerful synonym replacement including regular expressions
  • Configurable matching rules
  • Partitioning of data (e.g. by postal code) for optimal speed
  • Configurable result formats

As an interactive service

  • Configurable, error-tolerant customer search for individual queries
  • Index update directly when data is entered

As batch matching

  • Processing of mass data as files in CSV format
  • Inter-se deduplication of data files
  • Reference matching of the input source with a reference source
  • Negative matching of the input source with a block list
  • Find customers quickly during data entry and research
  • Avoid duplicate entries and duplicates
  • Save time when entering and searching for customers
  • No duplicate customer approach in campaigns
  • Uniform view on customers for analyses and decisions
  • Supports Windows Server, Linux, Solaris as well as other Unix systems (upon request)
  • Runs in virtualized system environments
  • Optimized for multi-core platforms
  • Scalable for databases of up to 100 million customer records
  • Short response times with many parallel users
  • Highly available, as cluster-capable
  • Standalone use with own integrated data management
  • Optionally combinable with databases (e.g. Oracle, Postgres, MongoDB)

International character sets

  • UTF-8 support for a wide range of international characters
  • Transliteration framework for processing e.g. Chinese, Arabic or Hebrew data
  • Fast, error-tolerant customer search in ERP and CRM systems or Internet applications and web shops
  • Deduplication of data sets
  • Consolidation of data from different sources
  • Data cleansing and consolidation before data migrations
  • Matching of campaign participants with exclusion lists
  • Can be easily integrated as a fast customer search in your applications via web service (REST or SOAP) or API for C, Java, PL/SQL
  • Integrate as a batch process for data management via simple file interfaces
  • Integration into ETL tools via web service or file interface (Informatica, Talend, Pentaho Data Integration or similar)
  • Optional: connectors for SAP, Siebel and Sales Force
Fair.digital

Our product TOLERANT Match has been certified with the fair.digital quality seal. The quality seal is awarded to products that combine the principles of data protection, transparency and fairness.

TL Match can do all that:

Find duplicates

Duplicates in address databases falsify the data basis and can be expensive for postal mailing campaigns. TL Match performs an inter se deduplication and checks your customer master data for duplicates. Matches are grouped together and provided with result probability details and rules.

Interactive search

You are looking for a customer? TL Match will find him for you in a split second. Whether you use a different spelling or enter only partial information: With TL Match’s intelligent search, you can access the customer data you need quickly and accurately. A great help also for call centers and sales.

Merge sources

TL Match merges address and customer data from different sources and databases quickly and without duplicates using reference matching. You consolidate your data either once directly when merging the addresses. Or you set up a corresponding rule supply process for regular matching.