Brian Yormak, co-founder of Story Ventures, discusses the classification of data companies, attractive API business models, and the importance of proprietary data in investment decisions. They also explore data legislation, finding the right founders to back, and the value of people data in data-driven businesses.
Data companies can be categorized into three components: data creation, organization and orchestration of data, and algorithmic-based applications.
Data should be refined and understood for its utility and relevance to avoid misperceptions of its value.
Flexibility and self-awareness are crucial qualities for founders to adapt to the evolving needs of a business and successfully scale it.
Deep dives
The Power and Potential of Data Companies
Brian Yormag, co-founder of Story Ventures, discusses the growing importance of data companies. He explains that data is like codified logic and how it can be leveraged to derive insights. Yormag highlights the three components of data companies: data creation, organization and orchestration of data, and algorithmic-based applications on top of the data. He also emphasizes the role of proprietary data and the competitive advantage it provides. Additionally, Yormag explores the different categories of data companies, such as hardware-based solutions, API companies, and AI applications. He notes that fewer integration partners on the supply side can increase the power and value of an API company.
The Value and Challenges of Data
Yormag delves into the value and challenges associated with data in the business world. He compares data to oil and highlights the importance of refining data so that it becomes valuable and useful. He also discusses the infinite nature of data, which means that it can be less valuable in some instances but extremely valuable in others. Yormag stresses the need for businesses to understand the utility and relevance of the data they possess. He presents examples where companies incorrectly perceive the value of data and fail to consider its actual utility. Ultimately, he emphasizes the importance of understanding the product set and the specific use cases for data.
Categorizing Data Companies
Yormag provides insights into the categorization of data companies. He shares his firm's thesis, which breaks down data companies into three categories: data creation, organization and orchestration of data, and algorithmic-based applications on top of the data. While recognizing that many companies may have multiple crossovers, he explains how hardware-based solutions can be in the data creation category, API companies in the middleware category, and AI applications in the algorithmic layer. Yormag also discusses the importance of understanding the context and maturity of specific sectors when categorizing data companies.
The Shifting Roles of Founders
Yormag explores the different stages and roles of founders in building a successful company. He differentiates between the zero-to-one phase, where founders focus on problem-solving and product-market fit, and the one-to-end phase, where founders shift their focus to managing and optimizing the organization. He emphasizes the importance of flexibility and self-awareness for founders to adapt to the evolving needs of the business. Yormag also discusses the challenges faced by non-founding CEOs and the unique qualities that make founders well-suited for scaling a company.
The Measurement and Optimization of People
Yormag highlights the importance of measuring and optimizing the performance of employees within organizations. He discusses the need for businesses to be proactive in defining success metrics for every individual and implementing KPIs or guidelines to measure performance. Yormag suggests that there is an opportunity for data-driven consulting firms to assist organizations in quantifying and improving employee performance. He also emphasizes the role of sensors and automation in measuring performance in various industries, such as healthcare and retail.
My guest is Brian Yormak, co-founder of Story Ventures alongside his brother Jake, a venture capital firm with a strong focus in data and data software. I connected with Brian as they are an investor in past guest Craig Fuller’s media and data company FreightWaves and are one of the few VCs with a strong focus in data.
I’ve talked to data CEOs on the podcast before, but was curious to add the venture perspective to the conversation through this episode with Brian. Brian and I talk about how he classifies data companies today, API business models, what the most interesting data companies and founders are doing today, and so much more.