Strategies for Monetizing Data

Current approaches to data monetization are fairly straightforward and can be imitated by competitors, leading to a game of catch-up. This report will discuss a framework that companies can use to be strategic in monetizing data, thereby setting up competitive barriers for themselves.

This research is archived and therefore no longer available. For further assistance please contact your Customer Success Manager or email ClientEngagementTeam@luxresearchinc.com. Thank you!

Related Research

Product Comparison: Selecting the best industrial analytics platform

State of the Market Report | January 12, 2021

Industrial firms are being approached by dozens of analytics providers on how their novel AI algorithms can enable new applications and save clients millions of dollars. This report looks at which suppliers offer the most complete and innovative products when compared to buyer selection criteria. ... Not part of subscription

Deep Learning

Technology | January 07, 2021

Advanced machine learning techniques making use of neural networks for much‑improved computer vision, speech recognition, natural language processing, filtering, and more. Not part of subscription

Six key AI technology trends emerging in 2021

Analyst Insight | May 12, 2021

Artificial intelligence (AI) technology trends evolve quickly, and staying on top of these trends is a critical part of planning for those developing, adopting, or investing in AI. From our research and conversations with many AI and machine learning stakeholders, we've identified six key trends ... Not part of subscription