Fuzzy matching: Finding and allocating the right data records
Precisely merging customer with existing data
Service processes bristle with media disruptions because content from various applications is sought and saved during the processing of each transaction. Through error-tolerant comparison (fuzzy search), customer and transaction data can be associated with existing information despite fuzziness and data errors. The potential for using fuzzy matching in business processes is enormous. Fuzzy search is one of the core technologies of AI (artificial intelligence) on the way to autonomous system solutions.
- Internationally leading expertise
- Fuzzy search and reliable results in indexed data resources
- Services processes can be reliably allocated to existing customers and/or transactions for data validation
Areas of application
Fuzzy matching is used in the following ITyX solutions:
Without fuzzy matching, validation in case management is practically impossible.
The fuzzy search in data stocks and the finding of the correctly associated data record (fuzzy matching) are used by only a few search engines. This is because the effective use of fuzzy matching is much more complicated than the procedure for "simple" search inquiries as used by most knowledge management software solutions. If fuzzy search is missing in your processes, more than 80% of your transactions in case management must still be handled manually in order to allocate the right customer and/or transaction data.