Bewerber-Management 2024 - Module Seminars (monthly)

Data Extractor

Data Extractor can be used to automatically capture, match and analyze applicant data from applications, resumes and other documents.

Advantages:

• Up to 90% time savings
• Processes all common file formats (including scans)
• Processes complete application folders
• With semantic information categorization
• Multi-language capability (currently more than 30 languages) (optional add-on module)

Supported documents:

• PDF
• Word files (doc, docx)
• OpenOffice (odt)
• rtf files (RichText)
• Text files and RichText (rtf, txt)
• Images (jpg)

If available, the following data is extracted from a resume and prepared in a structured form:

• Name (salutation, academic title, first name, last name)
• Portrait photo of the applicant
• Contact data (street, postal code, city, nation, telephone number, fax, e-mail, homepage, ...)
• Personal data (date of birth, place of birth, citizenship, marital status, driving licenses, military service, level of education, ...)
• School education (period, type of education, institution, level of education attained, skills acquired, certificates, ...), including average grades
• Professional career (period, company, position, field of activity, industry, country, acquired skills, employment relationship, position, ...)
• Project experience (project name, period, company, position, field of activity, industry, country, acquired skills, ...)
• Language skills (language, level)
• Other information (personal interests, publications, personal skills, ...)
• Publications (title, subject area, ...)
• Job wishes (desired profession, starting date, salary expectations, position, ...)
• Industries
• Position identification (project manager, etc.)
• Statistics and charts (skills, industries, fields of activity, international experience, ...)