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Interview with Stefan Sedlacek

Despite advancing technological developments and a growing awareness of data management, many companies have still not fully realized that high data quality is an essential prerequisite for effective customer relationship management. 
TOLERANT Software Managing Director Stefan Sedlacek was interviewed by the online magazine WebsitePlanet.

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Uni codes and Japanese characters

Different encodings are a major source of problems during data migration. These include character codes such as UTF-8 and ASCII, as well as different alphabets such as those used in Japanese. If data records from different systems are merged, they must therefore be cleansed and recoded before migration. The data quality tools from Stuttgart-based software specialist TOLERANT Software can provide support here, as they can read and analyse texts from different writing systems.

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Associative memory technology for better data quality

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.

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