DaaS: Reading List
2 min readAug 25, 2023
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
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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)
