Data extraction: Extracting relevant information
from text content
Extraction of business data from unstructured text content (document extraction)
The manual extraction and processing of relevant business and personal data from e-mails, documents and the web result in unnecessary expense and delayed handling. ITyX offers a unique method for self-adaptive extraction of business and personal data from unstructured documents in addition to rules-based extraction of data.
- Automated processing of correspondence
- Relevant data is available to initiate and drive follow-up processes
- Increase efficiency and reduce cost in correspondence management
- A valuable solution for mailrooms, back office, internal communication and contact centers
Areas of application
Specialized data extraction is used in the following ITyX solutions:
Why ITyX methods lead worldwide ...
Proprietary AI (artificial intelligence) and extraction techniques determine semantic patterns in unstructured text content. When combined with the ability to learn from the behavior of selected expert employees in the handling of e-mail, documents, web content and social media allows text-based content to be analyzed and interpreted independent of its structure and composition. This text-based content from incoming e-mails and customer service events is automatically converted into usable data records. The result is the perfect combination of content, resources and business processes providing world class business process management (BPM).