Torrent details for "McNulty K. Handbook of Regression Modeling in People Analytics 2…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
23.5 MB
Info Hash:
6DA3E79EEEEA00668C2F1AAF614DB993DEF998CD
Added By:
Added:
March 2, 2026, 6:10 a.m.
Stats:
|
(Last updated: March 2, 2026, 6:11 a.m.)
| File | Size |
|---|---|
| McNulty K. Handbook of Regression Modeling in People Analytics 2ed 2026.pdf | 23.5 MB |
Name
DL
Uploader
Size
S/L
Added
NOTE
SOURCE: McNulty K. Handbook of Regression Modeling in People Analytics 2ed 2026
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format Over the past decade or so, increases in compute power, emergence of friendly analytic tools and an explosion of data have created a wonderful opportunity to bring more analytical rigor to nearly every imaginable question. Not coincidentally, organizations are increasingly looking to apply all that data and capability to what is typically their greatest area of expense and their greatest strategic differentiator—their people. For too long, many of the most critical decisions in an organization—people decisions—had been guided by gut instinct or borrowed ‘best practices’ and the democratization of people analytics opened up enticing pathways to fix that. Suddenly, analysts who were originally interested in data problems began to be interested in people problems, and HR professionals who had dedicated their careers to solving people problems needed more sophisticated analysis and data storytelling to make their cases and to refine their approaches for greater efficiency, effectiveness and impact
×


