Strategic Compensation Series: Paper 2
Data & Decision Intelligence
The Foundation of Strategic Compensation
Most organizations treat compensation planning as an annual scramble: budgets get set, spreadsheets proliferate, decisions get made, and then everyone hopes the data was accurate. This reactive approach fails precisely when decisions matter most. Paper 2 examines why compensation modeling demands always-on infrastructure and why "good enough" data quality costs organizations an average of $12.9 million annually in poor decisions, rework, and missed opportunities.
What you'll learn: How leading organizations build compensation modeling capabilities that enable rapid scenario planning. Why data integrity failures cascade at the worst possible moments. The five predictable ways compensation data breaks down—and how to prevent each one.

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ABOUT THIS SERIES
This is Paper 2 of the Beyond HR Systems series—three comprehensive papers examining technology, data, and AI in strategic compensation management.
The Complete Series:
- Paper 1: Why Compensation Demands Purpose-Built Technology (Download today)
- Paper 2: Data & Decision Intelligence in Strategic Compensation (Download above)
- Paper 3: AI in Compensation: Amplifying Human Judgment (Coming soon)