People Analytics and HR Analytics

6.

Technology, Tools, and Skills

6.1.

The People Analytics Technology Stack

6.1.1.

Core HR Systems (HRIS, ATS)

6.1.1.1.

System Capabilities

6.1.1.2.

Integration with Analytics Platforms

6.1.1.3.

Data Export and API Capabilities

6.1.1.4.

Real-Time Data Access

6.1.2.

Business Intelligence (BI) and Visualization Tools

6.1.2.1.

6.1.2.1.1.

6.1.2.1.2.

Use Cases in HR

6.1.2.1.3.

Dashboard Development

6.1.2.1.4.

Advanced Analytics Capabilities

6.1.2.2.

6.1.2.2.1.

6.1.2.2.2.

Use Cases in HR

6.1.2.2.3.

Integration with Microsoft Ecosystem

6.1.2.2.4.

Cost Considerations

6.1.2.3.

6.1.2.3.1.

6.1.2.3.2.

Use Cases in HR

6.1.2.3.3.

Associative Model Benefits

6.1.2.3.4.

Self-Service Analytics

6.1.2.4.

6.1.2.4.1.

6.1.2.4.2.

6.1.2.4.3.

6.1.3.

Statistical Software and Programming Languages

6.1.3.1.

6.1.3.1.1.

Data Analysis Capabilities

6.1.3.1.2.

Visualization Libraries

6.1.3.1.3.

Statistical Modeling Packages

6.1.3.1.4.

HR-Specific Packages

6.1.3.2.

6.1.3.2.1.

Data Manipulation Libraries

6.1.3.2.2.

Machine Learning Libraries

6.1.3.2.3.

Visualization Tools

6.1.3.2.4.

Web Development Capabilities

6.1.3.3.

6.1.3.3.1.

Database Querying

6.1.3.3.2.

Data Manipulation

6.1.3.3.3.

Performance Optimization

6.1.3.4.

6.1.3.4.1.

Statistical Analysis

6.1.3.4.2.

Enterprise Capabilities

6.1.3.4.3.

Regulatory Compliance

6.1.4.

Specialized People Analytics Platforms

6.1.4.1.

Vendor Landscape

6.1.4.1.1.

Workday Analytics

6.1.4.1.2.

SAP SuccessFactors

6.1.4.1.3.

Oracle HCM Analytics

6.1.4.1.4.

6.1.4.1.5.

6.1.4.2.

Platform Selection Criteria

6.1.4.2.1.

Functionality Requirements

6.1.4.2.2.

Integration Capabilities

6.1.4.2.3.

Scalability Considerations

6.1.4.2.4.

Cost-Benefit Analysis

6.1.5.

Cloud Computing and Data Storage

6.1.5.1.

Cloud Platform Options

6.1.5.2.

Data Warehousing Solutions

6.1.5.3.

Data Lake Architecture

6.1.5.4.

Security and Compliance

6.1.6.

Emerging Technologies

6.1.6.1.

Artificial Intelligence Applications

6.1.6.2.

Machine Learning Platforms

6.1.6.3.

Natural Language Processing Tools

6.1.6.4.

Robotic Process Automation

6.2.

Essential Skills for a People Analytics Professional

6.2.1.

Quantitative and Statistical Skills

6.2.1.1.

Statistical Analysis Techniques

6.2.1.2.

Data Interpretation

6.2.1.3.

Experimental Design

6.2.1.4.

Hypothesis Testing

6.2.1.5.

Regression Analysis

6.2.1.6.

Multivariate Statistics

6.2.2.

Data Management and Wrangling

6.2.2.1.

Data Cleaning Skills

6.2.2.2.

Data Integration Skills

6.2.2.3.

Database Management

6.2.2.4.

6.2.2.5.

Data Quality Assessment

6.2.3.

Data Visualization

6.2.3.1.

Visualization Principles

6.2.3.2.

Tool Proficiency

6.2.3.3.

Dashboard Design

6.2.3.4.

Interactive Visualizations

6.2.3.5.

Storytelling with Data

6.2.4.

Programming and Technical Skills

6.2.4.1.

SQL Proficiency

6.2.4.2.

R or Python Programming

6.2.4.3.

Statistical Software Usage

6.2.4.4.

API Integration

6.2.4.5.

Version Control Systems

6.2.5.

Business Acumen

6.2.5.1.

Understanding Business Strategy

6.2.5.2.

Aligning Analytics with Business Goals

6.2.5.3.

Financial Literacy

6.2.5.4.

Industry Knowledge

6.2.5.5.

Competitive Analysis

6.2.6.

HR Domain Knowledge

6.2.6.1.

HR Processes and Practices

6.2.6.2.

Employment Law Basics

6.2.6.3.

Organizational Behavior

6.2.6.4.

Change Management

6.2.6.5.

Talent Management

6.2.7.

Storytelling and Communication

6.2.7.1.

Communicating Insights Clearly

6.2.7.2.

Influencing Decision-Makers

6.2.7.3.

Presentation Skills

6.2.7.4.

Written Communication

6.2.7.5.

Visual Communication

6.2.8.

Consulting and Influencing Skills

6.2.8.1.

Stakeholder Management

6.2.8.2.

Change Management Skills

6.2.8.3.

Project Management

6.2.8.4.

Facilitation Skills

6.2.8.5.

Negotiation Skills

6.2.9.

Ethical Judgment

6.2.9.1.

Recognizing Ethical Dilemmas

6.2.9.2.

Applying Ethical Frameworks

6.2.9.3.

Privacy Considerations

6.2.9.4.

Bias Recognition and Mitigation

6.3.

Continuous Learning and Development

6.3.1.

Staying Current with Technology

6.3.2.

Professional Certifications

6.3.3.

Industry Communities and Networks

6.3.4.

Academic and Research Resources

6.3.5.

Skill Development Planning

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7. Building and Scaling a People Analytics Function