About this Event
Duration: 1 Day (10 Executive Education Credits)
Credits Breakdown: 8 – Live | 1 – Pre-Training | 1 – Post-Training
Mode: Virtual / In-Person / Corporate In-House
Language: English
Refreshments: Includes lunch and light refreshments during classroom sessions
Course Overview
In 2025, leaders must harness data not only to understand the past but to shape the future. This 1-day intensive equips executives with the skills to interpret analytics, apply AI-powered insights, and drive strategic, responsible, and data-informed decision-making. The program blends case studies, interactive simulations, and practical frameworks aligned with global business trends.
Learning Objectives:
- Recognize the value of business analytics and its applications in leadership.
- Translate business challenges into data-driven analytical questions.
- Interpret dashboards and KPIs to make effective decisions.
- Apply descriptive, predictive, and prescriptive analytics in business scenarios.
- Leverage real-time dashboards, automation, and augmented analytics for faster decision-making.
- Understand data governance, ethics, and bias mitigation in analytics and AI.
- Empower teams with self-service, no-code analytics tools to democratize insights.
- Adopt an AI-augmented leadership mindset that balances technology and human judgment.
Training Day Structure – 8 Modules (1 Day)
- Module 1: Introduction to Business Analytics
- Module 2: Data-Driven Decision Making
- Module 3: Key Metrics & KPIs
- Module 4: Dashboards, Visualization & Real-Time Analytics
- Module 5: Descriptive, Predictive & Prescriptive Analytics
- Module 6: Governance, Ethics & Responsible AI
- Module 7: Self-Service & Embedded Analytics
- Module 8: Capstone Project & Wrap-Up
Target Audience:
- Business Leaders & Senior Executives
- Department Heads & Functional Leaders
- Strategy & Transformation Managers
- Entrepreneurs and Decision Makers seeking data-driven strategies
Certification:
Participants will receive the Certificate of Completion from Skelora.
Trainer Profile
Delivered by Senior Leadership and Strategy Experts with extensive experience in executive leadership, strategic planning, and organizational transformation. Trainers bring real-world insights and practical frameworks to help leaders drive sustainable impact and results.
Note: Pre- and post-course work each carry 1 Executive Education Credit
Agenda
Pre-Course Support (1 Credit)
Info: Reflection on current decision-making approaches, an analytics readiness self-assessment, identification of data challenges faced in leadership roles, and goal setting for applying analytics insights during the workshop.
Module 1: Introduction to Business Analytics
Info: Understanding the role of analytics in modern leadership. Explore how data supports informed decision-making and organizational performance.
Module 2: Types of Business Analytics
Info: Learning descriptive, diagnostic, predictive, and prescriptive analytics and their practical applications in business contexts.
Module 3: Key Business Metrics & KPIs
Info: Understanding how performance indicators measure success across different business functions.
Module 4: Data Interpretation & Visualization
Info: Learning to read dashboards, reports, and visual data representations effectively.
Module 5: Analytics for Strategic Decision-Making
Info: Applying data insights to improve planning, forecasting, and performance management.
Module 6: Identifying Trends & Patterns
Info: Recognizing patterns, risks, and opportunities through data analysis.
Module 7: Data-Driven Leadership Mindset
Info: Building a culture of evidence-based decision-making within teams.
Module 8: Toolkit – Business Analytics Action Plan
Info: Developing a structured 30-day roadmap to apply analytics insights in leadership decisions.
Post-Course Support (1 Credit)
Info: Includes a Business Analytics Playbook with KPI templates, data interpretation checklists, a 30-Day Analytics Application Challenge, and tools to help leaders integrate data-driven decision-making into daily operations.
Event Venue & Nearby Stays
For venue information, Please contact us: [email protected], Chicago, IL, Chicago, IL, United States
USD 830.35 to USD 934.05
