While some of what I’ve written has come from experience, much has come from digesting things written by people much smarter than me. Here are some of my favorites:

Basics of DaaS

• Data as a Service Bible: the first stop from some of the best people at building great data companies
• What is Data as a Service
• The Data Commerce Cloud DaaS Overview
• 9 Essential Best Practices in DaaS
• Good Data Strategy, Bad Data Strategy
• Infonomics (Book): full-org, high-level thinking from Doug Lacey covering monetization and operating model implications

Newsletters

• It’s Pronounced Data: a great, and unique, weekly from Daniel Entrup with a specific eye to the business of data, including fundings and leadership moves
• Alt Data Weekly: John Farrall’s weekly newsletter on trends in the broader data ecosystem

Market Strategy / Commercialization

• DataRepublic: How Much Is Your Company’s Data Really Worth (PDF): one of my favorite reads. A fantastic primer with some great concepts at the end about pricing, value, and commercial considerations
• HBR: 4 Steps to Monetizing Your Company’s Data
• Management Quarterly: Data Monetization Literature Review: academic paper

Product/Engineering: Data as a Product, Data Meshes, etc

• Towards Data Science: Data as a Product vs Data Products
• Towards Data Science: Designing Data Products
• MonteCarlo Data: Building Data Products- The Ultimate How-To Guide
• The Data Mesh Article: Zhamak Dhegani’s influential piece setting out the new concept of data meshes
• Data Mesh Operating Model: I think this is a well-structured, easy to digest dive through the concept beyond just the “engineering” approach

Deep-Dives: Valuation, Structuring, Lending

• Deloitte: Understanding the Value of Your Data Assets
• Entrepreneur Magazine: The Emerging World of Data-Backed Loans (specifically, great coverage of Gulp Data)
• EDM Council: Data Valuations from Intangible Assets
• EDM Council: Corporate Structures for DataCos (pdf): an interesting dive into different forms of sub-co structures for maximizing data utility and governance (a shorter, Forbes version is available)