Understanding Digital HR Tools and Techniques in HR Analytics #256005

Upon successful completion of this course, participants will be able to:

• Map the digital HR technology landscape and identify the core functions of key systems (HRIS, ATS, LMS, etc.).

• Define the core principles of HR analytics and its evolution from reporting to predictive insights.

• Identify key HR metrics and KPIs that align with and measure business outcomes.

• Apply a structured framework to analyze HR data and solve real-world business problems (e.g., turnover, recruitment efficiency, absence).

• Create basic data visualizations and dashboards to effectively communicate insights to stakeholders.

• Understand the critical ethical considerations, data privacy laws, and data governance principles in HR analytics.

• Develop a plan for implementing or improving a data-driven approach within their HR function.

This course is ideal for HR professionals who need to understand and use data in their roles:

• HR Generalists, Business Partners, and Managers who want to add data-driven insights to their skill set.

• Talent Acquisition, Learning & Development, and Compensation Specialists looking to measure the effectiveness of their programs.

• HRIS Analysts seeking to better understand the analytical application of the systems they manage.

• HR Assistants and Coordinators preparing for a more analytical career path.

• Line Managers who rely on HR data to manage their teams effectively.

• Anyone new to the HR analytics field or looking to formalize their practical knowledge.

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: The Digital HR Landscape & Foundations of Analytics

• Morning Session: Introduction to Digital HR Ecosystems

  • Overview of Core HR Systems: HRIS/HCM (Workday, SAP SuccessFactors, Oracle), ATS, LMS, Performance Tools.

  • How Systems Integrate: Understanding Data Flow and Silos.

  • The Role of Cloud Technology and Mobile Access.

• Afternoon Session: The “Why” Behind HR Analytics

  • From Operational Reporting to Strategic People Analytics.

  • The HR Analytics Maturity Model.

  • Linking HR Initiatives to Business Outcomes: The Impact Chain.

  • Activity: Map your organization’s current HR tech stack and analytics maturity.

Day 2: Data Management, Metrics, and KPIs

• Morning Session: HR Data Fundamentals

  • Data Types: Structured vs. Unstructured Data.

  • Data Hygiene: Ensuring Quality, Consistency, and Integrity.

  • Introduction to Data Governance and Privacy in HR (GDPR, CCPA).

• Afternoon Session: Defining What to Measure

  • Key HR Metrics across the Employee Lifecycle (e.g., Time-to-Hire, Quality-of-Hire, Turnover Rate, Engagement Score).

  • Connecting HR Metrics to Business KPIs (e.g., Revenue per Employee, Cost per Hire, Impact of Training on Performance).

  • Workshop: Develop a set of KPIs for a specific business challenge, like improving retention in a key department.

Day 3: Analytical Techniques and Statistical Fundamentals

• Morning Session: Moving from Description to Diagnosis

  • Descriptive Analytics: What happened? (Summary statistics, trends).

  • Diagnostic Analytics: Why did it happen? (Correlation, segmentation, root cause analysis).

  • Introduction to Predictive Analytics: What will happen? (Basic regression concepts).

• Afternoon Session: Hands-On Analysis with HR Data

  • Using Excel/Power BI for Basic HR Analysis: PivotTables, VLOOKUPs, Charts.

  • Conducting a Cohort Analysis (e.g., analyzing turnover by hiring year).

  • Practical Lab: Analyze a sample dataset to diagnose the primary drivers of employee turnover.

Day 4: Data Visualization and Storytelling

• Morning Session: The Principles of Effective Data Visualization

  • Choosing the Right Chart for the Right Message.

  • Design Principles for Clarity and Impact.

  • Introduction to Dashboarding Tools (e.g., Tableau, Power BI).

• Afternoon Session: Communicating Insights for Action

  • The Art of Storytelling with Data: Crafting a Narrative.

  • Tailoring Your Message for Different Audiences (HR, Managers, Executives).

  • Workshop: Build a simple dashboard and present the findings from Day 3’s analysis to a simulated executive audience.

Day 5: Application, Ethics, and the Future

• Morning Session: Applying Analytics to Key HR Challenges

  • Deep Dives into Use Cases:

    • Predictive Attrition Risk Modeling.

    • Analyzing Recruitment Channel Effectiveness.

    • Measuring the ROI of Learning Programs.

• Afternoon Session: Ethics, Governance, and Capstone

  • The Ethical Use of AI and People Data: Avoiding Bias.

  • Creating a Culture of Data-Driven Decision Making in HR.

  • Capstone Project: Participants work in groups to solve a complex HR problem using the full analytics framework learned throughout the week.

  • Course Recap & Developing a Personal Action Plan.