Rare Datasets

One essential concept to understand in pricing is marginal value, which refers to the additional satisfaction or utility that a consumer gains from consuming one more unit of a good or service. In other words, it’s the value of the next unit that one would consume, and it helps determine the price that a consumer is willing to pay for that unit.

Example: Diamonds and Water

A classic example to illustrate the concept of marginal value is the paradox of diamonds and water. Though water is essential for human survival, it is often abundant and cheap. On the other hand, diamonds, which are non-essential, are scarce and expensive. The marginal value explains this phenomenon:

  1. Water: Since water is abundant, the satisfaction derived from consuming one more unit (e.g., a glass) is relatively low, leading to a low price.
  2. Diamonds: In contrast, diamonds are rare, so the additional satisfaction derived from acquiring one more diamond is high, resulting in a high price.

The difference in marginal value between these two items leads to the vast difference in price.

Transition to Data

In the context of data, the concept of marginal value is equally relevant. Data with high marginal value is often characterized by the following attributes:

  1. Relevance: High-marginally valued data is directly applicable to the task at hand, providing specific insights that lead to actionable decisions.
  2. Uniqueness: Such data provides information that is not easily available elsewhere, making it more valuable.
  3. Timeliness: The data is current and up-to-date, reflecting the latest trends or situations, enhancing its value.
  4. Accuracy: High quality, error-free data that accurately represents the subject matter will have high marginal value.

On the other hand, data with low marginal value might be outdated, irrelevant, easily accessible, or inaccurate.


Understanding the concept of marginal value, as illustrated by the diamond and water example, helps us appreciate why certain data is more valuable than others. As we enter a new era driven by information, recognizing the characteristics that give data high marginal value becomes essential for businesses and individuals alike. The ability to identify and leverage such data could be key to unlocking the next generation of wealth.

Author: John Rector

John Rector, a former IBM executive and co-founder of e2open, has an impressive portfolio of leadership roles across a range of companies and industries. In the realm of digital marketing, he has successfully led Social Media Target, ensuring its competitiveness in the ever-evolving digital landscape. He has also served operationally at Rainbow Packaging, focusing on the delivery of farm-fresh produce. John's creativity and vision for web technologies shine through at Bodaro and Palm ❤️, the latter being a graphic design studio founded in June 2023. He has also ventured into the education sector with Nextyrn, a tutoring startup that leverages AI for personalized learning experiences. His entrepreneurial spirit has also seen the founding of Potyn, an innovative project that uses AI to create bespoke art. The newest additions to his extensive portfolio include Nozeus, Infinia, Blacc Ink, and Maibly, further expanding his influence across various industries.

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