Programme Overview
Training Description
HR Analytics Specialists
• HR Business Partners
• IT Managers supporting HR systems
• HRIS Analysts
• Talent Acquisition Leads
• Workforce Planning Professionals
• Learning and Development Managers
• Compensation and Benefits Analysts
• Organizational Development Officers
Session Objectives
- Identify key metrics and KPIs relevant to HR functions
- Build collaborative models between HR and IT departments
- Implement cloud-based HRIS and analytics platforms
- Use predictive analytics to inform HR strategy
- Visualize HR data using dashboards and BI tools
- Integrate HR analytics into strategic decision-making
About the Course
In the era of data-driven decision-making, the HR Analytics with IT Integration Training Course is designed to empower HR professionals with the technical acumen and analytical skills needed to bridge the gap between human capital strategy and cutting-edge technology. As organizations increasingly rely on real-time insights to optimize workforce performance, the integration of HR analytics with IT systems becomes essential for driving efficiency, forecasting trends, and enhancing talent management strategies. This course explores the convergence of HR data and information technology, helping professionals design and deploy robust analytics systems that align HR goals with business intelligence.
Participants will learn how to harness the power of integrated HR information systems (HRIS), cloud platforms, data warehouses, and analytics tools to track key performance indicators (KPIs), measure employee engagement, predict turnover, and improve recruitment outcomes. The course offers a practical approach to applying statistical models, dashboards, and data storytelling techniques to inform executive decisions and shape future workforce planning. Whether you're an HR practitioner, IT manager, or HRIS analyst, this program will provide actionable skills to leverage technology for impactful HR analytics.
Curriculum & Topics
9 Topics | 5 Days
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Subtopic 1.1: Definition and scope of HR analytics
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Subtopic 1.2: Key trends shaping HR and IT integration
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Subtopic 1.3: Benefits of data-driven HR functions
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Subtopic 1.4: Challenges in aligning HR and IT teams
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Subtopic 1.5: Roadmap to building an integrated HR analytics strategy
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Subtopic 2.1: Designing scalable HR data pipelines
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Subtopic 2.2: HRIS and ERP systems overview
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Subtopic 2.3: Data warehousing and cloud solutions for HR
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Subtopic 2.4: Ensuring data consistency and accessibility
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Subtopic 2.5: Interfacing HR platforms with IT systems
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Subtopic 3.1: Identifying HR metrics that matter
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Subtopic 3.2: Aligning KPIs with organizational goals
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Subtopic 3.3: Turnover, retention, engagement, and productivity metrics
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Subtopic 3.4: Benchmarking internal and external data
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Subtopic 3.5: Creating a data dictionary for HR stakeholders
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Subtopic 4.1: Overview of analytics platforms (Power BI, Tableau, Google Data Studio)
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Subtopic 4.2: Introduction to SQL and Python for HR data
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Subtopic 4.3: HR dashboards and automation tools
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Subtopic 4.4: API integration with recruitment, L&D, and performance systems
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Subtopic 4.5: Leveraging cloud-based analytics solutions
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Subtopic 5.1: •Forecasting attrition and hiring needs
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Subtopic 5.2: Scenario modeling for workforce planning
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Subtopic 5.3: Using machine learning for performance prediction
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Subtopic 5.4: Applications of AI in recruitment and engagement
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Subtopic 5.5: Ethics and transparency in predictive analytics
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Subtopic 6.1: Principles of effective HR data visualization
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Subtopic 6.2: Building interactive dashboards for leadership reporting
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Subtopic 6.3: Telling stories with HR data to influence decisions
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Subtopic 6.4: Customizing reports for different stakeholders
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Subtopic 6.5: Best practices in visual HR communications
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Subtopic 7.1: Ensuring HR data privacy and security
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Subtopic 7.2: Compliance with labor and data protection regulations
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Subtopic 7.3: Role-based access and data classification
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Subtopic 7.4: Managing sensitive and personal employee data
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Subtopic 7.5: Audit readiness for HR systems
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Subtopic 8.1: Aligning analytics with workforce strategy
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Subtopic 8.2: Using analytics to evaluate HR initiatives
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Subtopic 8.3: Embedding analytics in recruitment, performance, and L&D
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Subtopic 8.4: Supporting agile HR practices through real-time data
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Subtopic 8.5: Enhancing employee experience with smart insights
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Subtopic 9.1: Emerging technologies shaping HR analytics
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Subtopic 9.2: Integration of chatbots and virtual assistants
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Subtopic 9.3: HR analytics in remote and hybrid work models
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Subtopic 9.4: Talent intelligence platforms and employee listening tools
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Subtopic 9.5: Building a culture of data literacy in HR teams