Abstract: A method for crowd-sourced compensation ranging is provided, the method including, at least, (a) consideration of one or more of a candidate's base pay, bonus, and total annual compensation; (b) one or more of the candidate's job title and physical or virtual location; and (c) one or more experience-based compensable factors, including a candidate's specific skills, certifications, years of experience, and/or management roles.

Abstract: A method for crowd-sourced compensation ranging is provided, the method including, at least, inclusion, analysis and application of a wide variety of available compensable factors, including one or more crowd-sourced compensable factors.

Abstract: An automated business method for matching education, salary and other employment-related data is disclosed. In one example embodiment, the automated business method includes integrating of two or more neural networks to match job-related services.

Abstract: Business and automation methods relating to management of education, salary and other employment data are provided. According to one aspect of the invention, a computer enabled business method for checking quality and classifying third party education and other employment data is provided that filters, transforms ins and dynamically improves the basic functionality of a computer with respect to associated data management.

Abstract: According to one aspect of the invention, a dynamic, computer enabled, transformative process includes a plurality of steps, wherein raw data is first detected, flattened, transformed, and mapped to a new set of headers and/or reordered as needed to facilitate a wide variety of survey export formats uploadable to products useful by clients using associated software. According to other aspects, the file detection process automates a historic process of opening files and looking at certain attributes of the file format to confirm that the file is a certain survey from a publisher and handled appropriately after the metadata information is detected from the raw file. File formats are detected using a combination of file attributes and pattern recognition; for example, filenames, the number of sheets in a workbook, and the number of words in workbook might be appropriate file attributes in a particular application.

Abstract: A method and apparatus for providing targeted online compensation reports that accounts for unique individual job characteristics by using dynamic profiles is described. The invention uses a survey engine having a collaborative filtering engine that determines appropriate questions to ask the user during the survey, and may further provide suggested possible answers. A collection of user profiles is used for comparison purposes and to produce additional individualized compensation reports.