Most organisations don't struggle with a lack of data, but rather with knowing where to start. In this episode, we unpack how to identify the first high value, high-margin data products your organisation can monetise.

We cover why datasets aren't products, what buyers actually pay for, the three tests every data product must pass and the red flags to avoid.

When it comes to data monetisation, most companies have the data, have the customers, and even have clear demand, but the revenue still doesn't flow.

In this episode, we break down the six barriers that stop enterprises from monetising their data, and what companies can about each one.

In this debut episode, Matthew Bernath breaks down the five biggest myths holding organisations back from unlocking the true value of their data. From the misconception that monetisation means "selling data" to the belief that it requires perfect datasets or complex technology, Matthew separates fact from fiction.

Learn how leading companies are safely generating new revenue streams, building internal data products, and embedding value based thinking into their data strategy.

Key Takeaways:

1. Why data monetisation isn't about selling data, it's about creating value.

2. The difference between internal and external monetisation.

3. Why perfection isn't required, progress is.

4. The role of privacy and compliance as enablers, not barriers.

5. How to start small, prove value, and scale sustainably.