Startup Funding Espresso – Five Business Models for Linked Data

Five Business Models for Linked Data Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. Linked data is structured data that is linked to other data making it more useful for searches and queries. A wiki site often holds linked data sets. Here's a list of five business models around the use of linked data. Subscription revenue such as monetizing the data directly. This works well for users who need a continuous feed of new data. Advertising revenue by placing ads around the data. This works well for non-subscription applications such as one-time use data. Authority revenue such as providing validation or compliance on the data. This works well for users that need to verify the validity of the data. Affiliate revenue such as including links in the data. This can be used for ecommerce applications. Value-add data revenue by combining multiple sources of data to create a new data set. An example is adding demographics and purchase history on prospective customers. This gives insight into what product the prospect may be interested in. You can also combine one or more of these models into one application. Consider these five monetization models for your linked data set. Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding. Let's go startup something today. _______________________________________________________ For more episodes from Investor Connect, please visit the site at: http://investorconnect.org Check out our other podcasts here: https://investorconnect.org/ For Investors check out: https://tencapital.group/investor-landing/ For Startups check out: https://tencapital.group/company-landing/ For eGuides check out: https://tencapital.group/education/ For upcoming Events, check out https://tencapital.group/events/ For Feedback please contact [email protected] Please follow, share, and leave a review. Music courtesy of Bensound.