From Insight to Income – When Internal Data Crosses the Licensing Line Most organisations underestimate what it takes for internal data to generate external revenue. They assume value travels automatically – that volume, accuracy, or visibility make a dataset licensable. But the market has stricter requirements. To cross the licensing line, data must meet thresholds […]
How to Monetise Without Selling Your Data Most organisations do not lack data. What they lack is packaging. The ability to structure internal insight in a way that makes it usable, influential, and economically valuable. Monetisation is often seen as a sale. But in practice, the most valuable data never changes hands. It changes outcomes.
Insight Packaging: How to Monetise Without Selling Your Data Read More »
The First Step to Valuation In our last article, we examined context as the layer that enables interpretation. Without it, data misleads – even when accurate and accessible. Today we address a deeper constraint: structure. Why valuation begins with structure, not scale Data volume is not a measure of potential. Many organisations have large datasets
In a world built on data, it is not enough to simply have it – it needs to be accurate, complete, and fit for purpose. Among all the traits that define high-quality data, accuracy remains the most visible, most critical, and most costly when ignored. Yet many organisations conflate accuracy with overall quality. They assume
As organisations collect ever-growing volumes of data, the question is no longer whether you have enough – but whether you are seeing its full potential. Businesses sitting on extensive data reserves hold more than operational firepower. They hold leverage. In this second article in the VisioValor series, we focus on data volume as a distinct
Updated December 13, 2024 A data asset is a collection of data that has value to an organization. This data can be structured, semi-structured, or unstructured. Structured data is typically stored in relational databases, in tables with rows and columns. Examples include customer information, financial transactions, and inventory records. Unstructured data is not organized in
What is a Data Asset? Definition, Examples and Best Practices in Data Management Read More »
