Description

Introduction

The Analytics & Reporting with AI in Cornerstone training is designed to help HR professionals, L&D leaders, system administrators, and business analysts leverage Cornerstone’s reporting capabilities enhanced with Artificial Intelligence.

This program provides hands-on knowledge of:

1. Cornerstone Reporting 2.0
2. Dashboards & Data Visualization
3. AI-driven insights and recommendations
4. Predictive analytics for talent management
5. Custom reporting & data storytelling
6. Compliance and workforce intelligence

Participants will learn how to transform raw HR and learning data into actionable business insights using AI-powered tools within the Cornerstone ecosystem.

Prerequisites

1. Basic understanding of Cornerstone LMS or Talent Management modules
2. Familiarity with HR or L&D processes
3. Basic knowledge of reporting concepts (filters, fields, metrics)
4. Understanding of data concepts (KPIs, dashboards, analytics)
5. Access to a Cornerstone environment (preferred for hands-on practice)
6. Basic knowledge of AI concepts in business applications

Table of Contents

Module 1: Overview of Cornerstone Analytics Ecosystem

1. Introduction to Cornerstone Reporting Framework
2. Standard Reports vs Custom Reports
3. Reporting 2.0 Overview
4. Data warehouse and real-time reporting concepts
5. Analytics use cases in HR & L&D

Module 2: Reporting Fundamentals in Cornerstone

1. Navigating the Reporting Interface
2. Understanding Data Sources & Fields
3. Filters, Prompts, and Parameters
4. Creating Basic Reports
5. Scheduling and Distributing Reports
6. Exporting & Sharing Reports

Module 3: Advanced Reporting & Customization

1. Building Custom Reports
2. Joins and Relationships Between Data Objects
3. Calculated Fields & Derived Metrics
4. Cross-module reporting
5. Report performance optimization

Module 4: Dashboards & Data Visualization

1. Creating Interactive Dashboards
2. Charts, Graphs & Visualization Techniques
3. KPI Design & Best Practices
4. Executive-level dashboards
5. Embedding reports into dashboards
6. Data storytelling techniques

Module 5: AI Capabilities in Cornerstone Analytics

1. Introduction to AI in Cornerstone
2. AI-powered insights and recommendations
3. Skill intelligence & workforce insights
4. Predictive learning recommendations
5. AI-based talent analytics
6. Automated trend detection

Module 6: Predictive & Prescriptive Analytics

1. Understanding Predictive Analytics in HR
2. Forecasting learning completion & compliance
3. Attrition & performance trend analysis
4. Identifying skill gaps using AI
5. Prescriptive decision-making with AI insights

Module 7: Compliance & Audit Reporting

1. Regulatory reporting requirements
2. Training compliance tracking
3. Audit-ready reporting
4. Automated compliance dashboards
5. Data governance & security considerations

Module 8: Integration & Data Strategy

1. Integrating Cornerstone with external BI tools (Power BI, Tableau)
2. API & data extraction options
3. Data sync best practices
4. Designing enterprise analytics strategy
5. Data accuracy & validation methods

Module 9: Real-World Use Cases & Case Studies

1. L&D impact measurement
2. Workforce planning dashboards
3. Executive reporting frameworks
4. Skills-based organization analytics
5. ROI measurement of learning programs

Module 10: Capstone Project (Hands-on)

1. Build an AI-powered dashboard
2. Create a predictive analytics report
3. Present business insights to stakeholders
4. Final assessment & feedback