Selling Data and Analytics as a Service: Challenges and Value, Explained

And Why Fractional Services Might Be Useful

In recent years, data and analytics have become crucial assets for businesses of all sizes, particularity in tech. Companies rely on data-driven insights to make informed decisions, optimize operations, and gain a competitive edge. As a result, the market for data and analytics as a service has grown rapidly. However, selling DaaS and AaaS (Aaas) can be challenging from a software-as-a-service (SaaS) perspective, with unique complexities that arise due to the nature of data and analytics products. It is often incredibly difficult to show the value of AaaS without actually implementing the tool.

I have never considered myself a “seller” in the classic sense. I always picture Ben Affleck in Boiler Room or someone shilling magazines to people who don’t need them rather than someone offering services, especially ones that are typically sorely needed by the client. When it comes to DaaS and Aaas, Thin Air Labs typically partners with the likes of Mixpanel and Segment to help companies get the full value of their products. Giving advice around which DaaS or AaaS to use for me is less about “buy this thing” and more about “what are the biggest problems you are seeing and how might we fill those gaps”. Thus, when I using “selling” I…