Data Driven

Solving the Biggest Problems in Startup Investing

Amal Bhatnagar

• Publisher: New Degree Press
• Year: 2022
• eBook ISBN: 9781637309179
• Edition: 1
• Topic: Business
• Subtopic: Investments & Securities
• Index: Business

Poor data quality costs the United States $3.1 trillion dollars every year. Data Driven: Solving the Biggest Problems in Startup Investing explores how new venture capitalists and data scientists can leverage data to invest in startups more efficiently and successfully.

Author Amal Bhatnagar aims to teach you how to make better investment decisions by creating your own data-driven organization. You'll hear stories from industry leaders like:

• David Coats, the Managing Director at Correlation Ventures, who created the world's most complete and accurate database of US-based venture capital financings
• Will Bricker, a Principal at the Hustle Fund, who built systems to handle 40 percent of all startup investment opportunities without human intervention
• Tim Harsch, the Chief Executive Officer of Owler, who created data on 13 million+ companies and the world's second largest business community
• Jonathan Hsu, Tribe Capital's Co-Founder, who uses data science techniques to handle more than $1.3 billion assets under management.

This book is a must-read if you are an aspiring investor who wants to make better startup investment decisions or data scientist who wants to build financial products. Here is the first step on the path to building a data-driven competitive edge and a more successful data-driven leadership.

Table of contents

• Introduction
• Part 1. Fundamentals of Venture Capital
• Chapter 1. Venture Capital 101
• Chapter 2. How Venture Capitalists Spend Their Time
• Chapter 3. Our Data Is Broken
• Chapter 4. Fundraising Is Hard
• Part 2. The Journey to Becoming Data-Driven
• Chapter 5. Decide to Become Data-Driven
• Chapter 6. Build Your Own Data
• Chapter 7. Leverage Crowdsourced Data
• Chapter 8. Create Your Data Team
• Part 3. Data-Driven Investing Techniques
• Chapter 9. Remove Bias
• Chapter 10. Partner with Top Co-Investors
• Chapter 11. Predict Startup Success
• Chapter 12. Measure Company Traction
• Chapter 13. Build Tools with Email Data
• Chapter 14. Arm Retail Investors with Data
• Chapter 15. The Ultimate Data-Driven Investor
• Acknowledgments
• APPENDIX