Short Course
Excel
Data-Driven Decision Making With Excel For Managers
Overview
In today’s fast-paced and data-driven business environment, managers must move beyond basic Excel functions to extract actionable insights that guide strategic and operational decisions. This course empowers managers, executives, and professionals to leverage Microsoft Excel as a powerful analytical and business intelligence platform. Participants will learn to transform raw organizational data into meaningful insights that improve performance, optimize operations, and support evidence-based decision-making.
Through a combination of case-based instruction and hands-on exercises, learners will master essential techniques across four modules: data analytics foundations, data preparation and governance, business visualization, and data storytelling. They will gain the ability to analyze performance indicators, conduct statistical and forecasting analysis, and design professional dashboards that communicate insights with clarity and impact.
The course integrates elements of business performance management (BPM) to help participants link operational metrics with strategic goals. By the end of the program, learners will confidently use Excel not merely as a spreadsheet tool, but as a decision-support and managerial analytics system capable of driving continuous improvement across departments.
Who Should Attend
This course is intended for
- Operations and production managers focused on efficiency and quality improvement
- Department heads, team leaders, and supervisors responsible for monitoring KPIs
- Finance, HR, and administrative professionals managing data for decision support
- SME owners, analysts, and professionals aiming to enhance data-driven management skills
Pre-requisites
- No pre-requisite required
- Participants are required to bring their own laptop PC or MacBook for the practical hands-on portions of the workshop
1 Day
8 Hours
Level
Beginner
What You Will Learn
Understand Data Analytics Concepts and Business Metrics
Explain the fundamentals of data analytics, identify key business metrics and Key Performance Indicators (KPIs), and understand how data-driven insights support informed business decision-making.
Prepare, Clean, and Analyze Business Data Effectively
Collect, organize, clean, and transform business data from multiple sources, then apply analytical techniques to identify trends, patterns, and opportunities for improvement.
Create Meaningful Data Visualizations and Interactive Dashboards
Develop clear, engaging charts, graphs, and dashboards that present complex data in an easy-to-understand format, enabling stakeholders to quickly interpret business performance.
Interpret Data and Communicate Insights Through Storytelling
Analyze analytical results, draw meaningful conclusions, and present data-driven recommendations using effective storytelling techniques that influence business decisions and actions.
Apply Data Analytics to Solve Real-World Business Problems
Utilize data analytics tools and best practices to address business challenges, evaluate performance, and recommend actionable strategies that improve operational efficiency and organizational outcomes.
Course Outline
Day 1
- Introduction to Data Analytics
- Overview of data analytics and its significance in today’s business landscape
- Understanding business and financial KPIs and BPM
- Understanding data-driven decision-making in Human Resources
- 4 levels of data analytics
- Data Preparation and Analytics
- Understand data governance and its role in ensuring data quality
- 4 steps in the data analytics pipeline
- Basic statistical analysis (hypothesis testing)
- Financial forecasting techniques
- Data Visualization for Business Communication
- The role of visualization in data analytics
- Types of charts (bar, line, scatter, pie, etc.) and when to use them
- Practical design principles for effective visualizations
- Data visualization best practices
- Interpreting and Communicating Data Insights
- Identifying trends and patterns in data
- The importance of storytelling with data
- McKinsey pyramid framework
- Strategies for presenting business data insights effectively to stakeholders
Trainers Profile
R. Swaminathan
Swami is a seasoned IT leader with over four decades of experience driving software development, consulting, and project management across the Asia Pacific region. Based in Singapore, he is the Co-founder and Director of Alegre Ventures Pte Ltd, a consulting firm dedicated to providing Data, AI, and Digital Transformation services.
