Amalgam Insights specializes in Technology Consumption Management with a focus on how companies can align IT purchases and subscriptions to the relevant consumption models. This can and should include options for enterprises to purchase not only on a per-server or per-core basis, but also on a duration, user, resource, usage unit, feature, or baseline capacity basis. In this light, AI was especially interested in evaluating HPE’s Flexible Capacity billing capabilities across storage, computing, and networking as well as HPE’s new launch of Project New Stack.
One of my favorite topics in enterprise software is pricing. Despite the work done in value-based pricing over the past 50 years, the vast majority of pricing exercises still start with either a very basic cost-plus or percentage-based ROI model. This assumption has a key issue: it assumes that your product is a commodity. To explain why and to explain how to take a more value-based approach, consider what a price is.
There are many ways to break down price, but the model AI uses to translate value into price comes from 3 basic components: Reference Price, Differentiated Value, and Price Positioning