Marc Vinyard is the author of the forthcoming book Unlocking Company Financial Data and Industry Insights: A Business Researcher’s Guide. This is an important topic for special librarians who work with business data. My interview with him is below.
Please introduce yourself to our readers.
I’m Marc Vinyard, and I’ve spent more than 30 years helping students, faculty, and researchers navigate business information. I currently serve as a business librarian at Pepperdine University, where I’ve worked for the past 28 years. Before that, I was a business librarian at a public library for three years.
Ironically, I wasn’t a business major—I studied the liberal arts. When I first entered business librarianship, the biggest challenge wasn’t finding information; it was understanding the financial jargon and making sense of the numbers. That experience shaped my career and ultimately inspired this book. I wanted to create the resource I wish I had when I was first learning how to interpret company financial data and industry research.
Briefly summarize Unlocking Company Financial Data and Industry Insights: A Business Researcher’s Guide.
Unlocking Company Financial Data and Industry Insights is a practical guide to understanding company financial statements and industry research. The book is built around two core concepts: Pillar 1, Internal Company Financials, and Pillar 2, Industry Information. Together, these pillars help researchers understand where business information comes from, what information is available, and how to interpret it.
Many business research books focus on where to find information, but I believe it’s just as important to understand what that information means. Simply pointing readers to databases or websites isn’t enough if they don’t know how to interpret a cash flow statement or compare a company’s performance to its industry. The book begins with straightforward examples using public companies and established industries, then gradually builds to more challenging topics, including private companies and niche industries where information is often incomplete and requires researchers to combine evidence from multiple sources.
Why did you decide to write this book?
I wrote the book that I wish I had when I began my career as a business librarian. It also helped me organize what I had learned over three decades and has become a reference guide that I use in my own work.
Many books on business information function primarily as directories of databases and resources, with limited guidance on how to interpret the information they contain. On the other hand, accounting and finance textbooks do an excellent job explaining financial concepts, but they rarely show readers how to find that information in real-world business research, especially for private companies or difficult-to-research industries. I wanted to bridge that gap by creating a practical guide that combines business research methods with financial analysis, helping readers not only locate information but also understand what it means.
Why did you decide to write the book at this particular time?
The business research landscape has changed dramatically in recent years. Although many commercial databases remain behind paywalls, the amount of high-quality business information available from free sources has grown rapidly. As a result, some of the research strategies I recommend for analyzing private companies and niche industries simply were not possible a decade ago.
At the same time, the explosion of available information makes it more important than ever to verify what you find. Throughout the book, I emphasize practical techniques such as using anchor sources and triangulating multiple sources of evidence to develop well-supported conclusions. My goal is to help researchers not only find more information, but also evaluate its quality and confidence.
In what ways do you see financial data and industry insights changing?
I see three major trends shaping the future of business research. First, the number of publicly traded companies continues to decline as firms are acquired or taken private by private equity. That means researchers increasingly need to know how to investigate private companies without the benefit of SEC filings. In those situations, industry reports and other external sources become even more important for providing context and helping researchers estimate financial performance.
Second, supply chain research has become much more important. The COVID-19 pandemic highlighted just how vulnerable global supply chains can be and how disruptions affect company performance. While commercial databases remain essential, researchers now have access to AI tools and a growing number of free online resources that can complement traditional business databases and uncover valuable supply chain insights.
Finally, researchers are expanding beyond traditional financial and industry data. Social media and other digital platforms make it possible to analyze customer sentiment and identify emerging trends, particularly in newer industries where few formal industry reports exist. Used carefully and verified against reliable sources, these newer forms of evidence can provide valuable context that wasn’t available just a few years ago.
For someone who finds financial jargon intimidating, what core concepts should a researcher master first before tackling anything else, and why start there?
I would encourage new researchers to build their skills one step at a time. First, focus on Pillar 1: Internal Company Financials. Learn how to read a company’s financial statements in its SEC filings, especially the income statement, balance sheet, and cash flow statement. Every major commercial database for public companies is built on this information, so understanding the original source provides a strong foundation. Even when researching private companies, these financial concepts remain essential.
The next step is Pillar 2: Industry Information. Spend time reading industry reports to understand the broader market in which a company operates. These reports explain industry trends, consumer demographics, competitive forces, and economic conditions, giving important context to a company’s financial performance.
Once you understand these two pillars, learn the basics of financial ratio analysis. Ratios help you compare companies and identify strengths, weaknesses, and trends that aren’t obvious from the financial statements alone. Finally, read investment reports from firms such as Morningstar or Morgan Stanley. These reports provide an excellent opportunity to see how professional analysts combine company financial data and industry information to develop meaningful insights and recommendations.
What are two concepts you hope all readers take away?
The first concept I hope readers take away is that financial data only becomes meaningful when it is placed in context. A financial ratio or performance measure by itself tells only part of the story. For example, knowing that a company has an inventory turnover ratio of 7.5 means very little until you compare it with similar companies in the same industry. Context transforms raw numbers into useful business insight.
The second concept is to never accept a dead end in business research. Whether you’re investigating a private company, tracing a supply chain, or researching an emerging industry with limited published information, there is almost always another path forward. My book emphasizes creative but disciplined research strategies, such as using related companies, adjacent industries, proxy data, and multiple sources of evidence. One of the most important skills a business researcher can develop is learning how to solve problems when the information isn’t readily available.
Is there anything else you would like to share?
One message I’d like readers to remember is that business research is rarely perfect. When you’re researching public companies, SEC filings provide a solid foundation. However, once you move into private companies, supply chains, or emerging industries, you’ll often need to work with estimates rather than audited financial data. That’s simply the reality of business research.
The key is not to avoid estimates, but to develop them carefully and transparently. By combining multiple sources, using proxy financials, and verifying information whenever possible, researchers can produce well-supported conclusions even when perfect data doesn’t exist. Just be clear about the assumptions you’ve made and distinguish verified facts from informed estimates. In business research, thoughtful analysis is often more valuable than waiting for information that may never become available.
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