À PROPOS DE CET ÉPISODE
Most enterprise data leaders can build a data product. Far fewer can sell one.
In this episode, we unpack the commercial reality of bringing data to market. Subscription is the default, but often the worst fit. and procurement was never designed to buy data products in the first place.
We cover:
- Why cost plus pricing is very very wrong
- The three pricing models that actually work: subscription, usage based, and outcome pricing
- Packaging as three decisions: unit of consumption, unit of payment, unit of delivery
- Why your first buyer is rarely your best buyer and how to avoid building a bespoke product
If you're sitting on data assets and trying to work out how to turn them into revenue, this is the episode where strategy meets deal making reality.
Anglais
Afrique du Sud
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RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de The Data Monetization Podcast.
AUTRES ÉPISODES DANS CE PODCAST
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.
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 t…
Data monetisation doesn't fail because of technology, but rather because of operating models.
In this episode, we go inside a Data Monetisation Unit and unpack how it actually works within a large enterprise. We cover the critical roles, governance structures, how the unit works and operates and t…
AI models increasingly depend on real world, proprietary data, but monetising that data raises questions around privacy, consent and trust.
In this episode, we unpack how enterprises can monetise data for AI training safely and ethically. We cover why demand for AI training data is exploding, what…
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 fa…
Avertissement: Le podcast et les illustrations intégrés sur cette page proviennent de Matthew Bernath, qui est la propriété de son propriétaire et n'est ni affilié ni approuvé par Listen Notes, Inc.
MODIFIER
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