Monday, July 29, 2019
Human Capital Management Systems, Analytics and Data Mining Book Update Included in Q3 2019 WorldatWork Journal Article
Tuesday, July 9, 2019
Given the findings in my recent book Human Capital Systems Analytics and Mining that for nearly all GS Pay levels in the Federal Government there are virtually no differences between Genders with regard to pay, except at the highest compensation levels.
Based upon the consistency of virtually equal Yearly Compensation Gains across Gender as shown in the Wage Growth Chart since 1997 it may be assumed that Pay Differences between Genders has been largely overstated for the last two plus decades for all job levels below upper management and executive.
In Contrast to the Gender view to the Wage Growth by Age is much different. Using the same Wage Growth Tracker noted above the 12 month moving averages indicates that from 1997 to the present the overall average Wage Growth Rate for the 16-24 Age Group was 6.7%, for the 25-54 Age Group 3.6% and for the 55+ Age Group 2.4%.
The importance of research in Pay Discrimination based on Age is underscored due to the fact that individuals are living longer and more depend on some level work during retirement.
Monday, March 25, 2019
Friday, March 22, 2019
My new book Human Capital Systems, Analytics and Data Mining includes Relational and Dimensional Modeling Tutorials with Data Modeling of Human Capital Information Database Systems that include special emphasis on Compensation Data Structures and Analytics.
Development of OLAP Databases and Human Capital Data Mining Projects further exploring contemporary Human Capital Research are the main focus of the book. Also included are development of Human Capital Information System Interactive Dashboards that effectively visualize recommended internal research methods along with detailed Tutorials on how to create and maintain the Dashboards. Dashboard development are mainly concentrated on Compensation Metrics and Analytics.
Monday, June 4, 2018
This would seem to indicate that when Gender Pay Gap studies are viewed from a high level, not taking into account Comparable Worth of jobs, that the differences must be distorted by Occupational Career Level Differences rather than discrimination when jobs are the same.
Human Capital Systems, Analytics and Data Mining to be published Spring/Summer 2018 does find that Gender Based Upward Occupational Mobility Issues are the true base issue when examining Gender Based Employment and Pay Status Progress.
Tuesday, May 16, 2017
The overall opinion of US Tech workers, while generally strongly supportive of diversity in Science and Technology Careers in US companies is that the H-1B Visa program has limited opportunities in those career fields for US workers and has kept salaries suppressed. The ongoing controversy of the H-1B Visa Program could be moderated by stricter standards for administration to insure that the program is not used for importing cheap labor and that qualified US citizen workers are given priority in hiring and promotion especially in Federal, State and Local Government including public colleges and universities.