Leverage HRIS Data

Overview

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Is your HRIS a source of truth or a source of confusion? You'll apply how an HRIS captures, stores, and updates employee data across the hire-to-exit lifecycle. You'll enter mock employee records into a simulation template, generate headcount-by-department reports, and export results to CSV. Using AI tools like ChatGPT, you'll document technical HRIS outputs into plain-language summaries for stakeholders—and learn to verify AI accuracy against your actual data. Through realistic role plays where you explain HRIS concepts to frustrated managers and coach dialogues where you troubleshoot data discrepancies, you'll develop the foundational skills needed for any HR technology role. This course is designed for HR professionals, coordinators, and anyone who touches workforce data. Basic spreadsheet familiarity is helpful, but no HRIS experience is required. Access to the free version of ChatGPT or Claude is recommended.

Syllabus

Understanding HRIS Data Foundations

In this module, you'll apply your understanding of why HRIS data quality matters and what happens when lifecycle data is captured incorrectly. Through a discovery role play, you'll uncover knowledge gaps, then build foundational understanding of how an HRIS captures, stores, and updates employee data from hire to exit.

From Records to Reports

In this module, you'll move from data entry to generating actionable reports. You'll apply techniques to run a headcount-by-department report, export results to CSV, and document your findings using AI-assisted communication—while verifying that AI outputs accurately reflect your actual data.