Nearly every modern organization collects and stores vast amounts of digital data. Thanks to advancing technology and shrinking infrastructure costs, this intelligence has become quite robust, detailed and powerful. Today, many organizations recognize their data are valuable corporate assets not just for internal consumption, but also for third party use.
Hello, again! This is the third part of our four-part series on pricing data products. So far, we have discussed the methods to price data as well as a a framework to thoroughly understand customers and what value a data product is actually delivering to them. In this installment, we will discuss nine (9) different price-to-value tradeoffs that determine how a given data product will compare to a customer’s maximum willingness to pay. Many of these value drivers are influenced by customers expectations, i.e. what are minimum requirements or benchmarks for data products of a given type.
Read on for more on how to price data! As always, subscribe to our blog to stay informed and continue on below for detail on the nine pricing levers of a data product.
Welcome to the second part of a four-part series on pricing data products. In the first installment of this series, we explored the two key methods for pricing any product: cost-based pricing and value-based pricing. For data products, value-based pricing represents the most logical approach as the marginal cost of reproducing data approaches zero quite rapidly. In this posting, we will provide a framework to thoroughly understand customers and what value a data product is actually delivering to them.
As always, subscribe to our blog to stay informed and read on for more detail on knowing your customers after the break.
Whether you want to buy data or sell data one of the biggest pain points in transacting data between companies is to get the two legal departments to agree on the terms of use. Together with our legal firm Olswang we have created two standard End-User License Agreements for vendors to select from to make it easier and quicker to listing in our data marketplace. We do have the third option for organizations who already have their EULA's ready - they can upload to our platform and use that as the binding agreement between themselves and the buyer.
Welcome to the first part of a four-part series on pricing data products. Setting the price of data products will be among the most important decisions to make as a data Vendor on the DataStreamX marketplace. This series will deconstruct the pricing process into a framework around value drivers, pricing levers and strategic decisions on pricing. Subscribe to our blog to stay informed and read on after the break.
