Data-Driven Decision Making for Entrepreneurs

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

1ST BATCH: Tuesday, March 24, 2026 — Friday, March 27, 2026.

2ND BATCH: Tuesday, July 21, 2026 — Friday, July 24, 2026.

3RD BATCH: Tuesday, November 17, 2026 — Friday, November 20, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.