Data at Work

The world of data and its many applications. This blog will help you learn how visionary companies are monetizing their data assets and utilizing external data to enhance business operations.

Structured to Sell - Part 3 of 4: Usable Data Products

Vendors should focus on creating the most attractive products possible in order to maximize their share of market, while still operating within organizational & market constraints. Attractive products cater to a sizeable audience, convert the maximum number of buyers and minimize buyer turnover. 

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How to Price Data: Pricing Strategy (Part 4 of 4)

Welcome the final part of our four-part series on pricing data products. To date, we have provided a comprehensive framework for extablishing a market value for data products. This used to be opaque guesswork, but now pricing data can take a pracitcal and more orderly approach. In this blog post, we will discuss how to actually set a pricing strategy on the DataStreamX maretplace, for multiple types of products.
Read on for more! As always, subscribe to our blog to stay informed and continue on below for detail on the nine pricing levers of a data product..
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Structured to Sell - Part 2 of 4: Your Data's Market Potential

A primary goal for data Vendors is to maximize the total population that consumes their data products. Vendors accomplish this by using their data in order to satisfy a market need.

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Vendor Tool-Kit: Data Schema Template

As with any product or service, generating demand relies on clear marketing. Marketing messages that communicate benefits, features, attributes and emotions that potential buyers easily identify with have higher likelihood of conversion. This holds true with data products as well. One of them most useful pieces of marketing content is a clear data schema describing the information contained in a data product.

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Structured to Sell - Part 1 of 4: Data Monetization Motivations

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.

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