In the context of a data-driven HR strategy, which of the following questions is most...

HRPA’s analytics guidance distinguishes foundational considerations (data architecture, systems integration, data quality, governance, storage, privacy/security) from downstream activities (analysis, reporting, and roles). Asking “What are the infrastructure implications?” targets the foundational layer—platforms, integrations (HRIS, ATS, payroll), data pipelines, and controls that underpin any analytics initiative. Questions about reporting (A), problem framing (B), and analytical responsibility (C) are essential, but they sit above the technical foundation that enables reliable, scalable analytics.

Relevant HRPA references (no external links): HRPA Study Guide – HR Metrics, Analytics, and Technology: data governance and infrastructure; HRPA Competency Framework – Reporting & Financial Management: establish data systems and controls for analytics.