Data-Driven Decision Making for Entrepreneurs

Objectives

• Understand the importance of data in entrepreneurial decision-making.
• Learn how to collect, analyze, and interpret business data.
• Develop skills to apply data insights to business strategies.
• Explore tools and techniques for making data-driven decisions.

Content

Introduction to Data-Driven Decision Making

• The role of data in modern entrepreneurship
• Types of business data (financial, customer, operational)
• Benefits of using data for decision making
• Common challenges and pitfalls in data-driven decision making

Collecting and Analyzing Business Data

• Methods for collecting reliable data
• Key metrics and KPIs for entrepreneurs
• Introduction to data analysis tools and techniques
• Interpreting data to identify trends and patterns

Applying Data Insights to Business Strategy

• Using data to drive product development and innovation
• Data-driven marketing strategies and customer targeting
• Financial forecasting and budgeting with data
• Improving operational efficiency through data insights

Tools and Techniques for Data-Driven Decision Making

• Overview of data analytics tools (Excel, Google Analytics, BI tools)
• Visualizing data for better decision making
• A/B testing and optimization techniques
• Leveraging predictive analytics for future business planning

DATE:

1ST BATCH:        24th – 27th Mar, 2026       

2ND BATCH:       21st – 24th Jul, 2026 

3RD BATCH:       17th – 20th Nov, 2026