In this customer-driven world, more and more businesses rely on data to derive deep insights about the behavior and experience of end users with a business’ products. Yet end-user logs, while interesting, often lack a 360-degree view of the “context” in which users consume a business’ products and services. The ability to analyze these logs in the relevant context is key to getting the maximum business value from big data analysis.
Today's enterprise strives to deliver exceptional customer experience, business process efficiency, and customer profitability. Given an enterprise's existing set of products, how do you define a portfolio of digital products to drive innovation and deliver real business results? In this webcast, Dan Tortorici and Jeremy Anticouni discuss digital product portfolios.
In our Digital Gold Rush blog series, we’re on a quest as digital cartographers to map out the different business models for monetizing digital assets. So far we’ve identified 2 business models for monetizing APIs: the revenue share model and the fee-based model.
The third business model is freemium. Freemium models can be based on a variety of factors such as volume, time, or some combination; they can be implemented as standalone or hybrid models (in conjunction with the rev share or fee-based models we’ve already discussed).
Today’s world is becoming rabidly digitized, precipitating a digital gold rush for businesses. Enterprises are drawing on the tools of digital trade, APIs, data, and apps, in their pursuit of treasure. Discovering gold requires a map of how these tools can be used to transform digital assets into revenue streams. In this blog series, we'll explore the different models for monetizing products of digitization. Let's start with the Revenue Sharing API monetization model.
With shrinking budgets, changing consumer expectations in a hyper-connected age, as well as constant pressure to extract maximum business value from big data and deliver strong return on investments, the Central Marketing Officer (CMO) is fast becoming the catalyst to help the enterprise’s data science evolve to be business science.
Data science in isolation, without business value in sight, can reveal very interesting patterns, trends and observations. However, the best data science is purposeless unless the data science and the data scientist can recommend actions for the business owner with the express purpose of creating value . . .
As enterprises build and grow their mobile value chain with app, data and API technologies, digital assets become not only a competitive advantage, but also a source of revenue. In this recent webcast, Anita Paul and Bryan Kirschner discuss the opportunities for value creation presented by APIs and data. They shared monetization models that apply to any industry, and explain how Apigee Monetization Services can help you deliver on the right business model for your digital assets.
The digital economy is driving a sea change in the traditional ways that enterprises interact with partners and customers. In this webcast, Dan Tortorici and Michael Leppitsch talked about how to move beyond tactics like tweaking SEO and hacking a mobile app and design a digital strategy for successful digital transformation.