The Data Monetization Podcast

Matthew Bernath
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Where data becomes revenue. Hosted by Matthew Bernath, this podcast explores how organisations transform their data into commercial value, responsibly, securely, and at scale. Each episode unpacks real world strategies, frameworks and success stories from leaders turning insights into direct alternative income.

单集

  1. Turning Data Into Something People Buy

    4天前

    Turning Data Into Something People Buy

    Matthew talks to Linda Reid, Head of Product at Alternata, about why product thinking is the difference between a data product earning zero and earning scalable, repeatable revenue. Most organisations start from the wrong end: "I have data, what can I build?" Linda's argument is that you have to do the opposite. Understand what you've got, then ignore it and step into the shoes of the person who'd actually use it. What problem does it solve? How do they solve it today? And is the gap between old and new big enough that they'll pay for it? Covering the easy sells versus the hard ones (creating a market for a problem nobody knows they have), why empathy is the core skill, and the trap of building lots from your data without asking whether you should.

    12 分钟
  2. Inside the JSE's AI Innovation Fund

    6月23日

    Inside the JSE's AI Innovation Fund

    Matthew sits down with Bruce from Ivy Asset Management to unpack IVYAI, the JSE-listed actively managed ETF giving South African investors rand denominated exposure to the global AI ecosystem. They get into what the fund actually holds and where the real opportunities sit beyond the obvious chip names: data, energy, infrastructure and cybersecurity. A look at how everyday SA investors can buy into the AI buildout without leaving the local platform.

    15 分钟
  3. Pricing, Packaging and Selling Data Products

    5月11日

    Pricing, Packaging and Selling Data Products

    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.

    10 分钟
  4. Why Data as a Product Will Outlast SaaS in an AI Native World

    3月27日

    Why Data as a Product Will Outlast SaaS in an AI Native World

    The private credit world poured over $500 billion into SaaS lending over the past decade. Now AI is threatening to make traditional SaaS business models obsolete, and those loans look increasingly shaky. The companies that will create durable value in an AI native economy are selling proprietary data products. This episode makes the case for data as a product as the next defensible asset class.

    11 分钟
  5. From Dataset to Data Product: How Data Actually Becomes Revenue

    3月12日

    From Dataset to Data Product: How Data Actually Becomes Revenue

    Most organisations think data monetisation means selling datasets. It doesn't. Buyers want decisions, not raw data. In this episode, we break down how signals become indices, benchmarks, APIs and insight products, and why productisation is the difference between a once off data deal and scalable recurring revenue.

    9 分钟
  6. Why SMEs Have Valuable Data (Even If It's Not Big Data)

    2月25日

    Why SMEs Have Valuable Data (Even If It's Not Big Data)

    Most small and medium sized businesses assume they don't have enough data to monetise. In this episode, we unpack why SMEs often hold valuable data in the economy, from specialist operational data and private markets insight to niche customer behaviour. We explain why data value is about signal, specificity and proximity to real world activity, not necessarily volume. We also cover how SMEs can unlock that value safely through aggregation and collaboration without selling raw data or exposing identity. If you're a founder, investor or operator, this episode will show you the potential value sitting inside your own business.

    9 分钟
  7. How Privacy Enhancing Technologies (PETs) Work

    1月28日

    How Privacy Enhancing Technologies (PETs) Work

    *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "4a19ea0a-76f3-4bf6-a21d-6f5fd8fb441d" data-testid= "conversation-turn-56" data-scroll-anchor="true" data-turn= "assistant"> Privacy Enhancing Technologies (or PETs) are foundational to modern data monetization. In this episode, we break down how PETs work in practice, including clean rooms, hashed ID matching, secure overlap analysis and privacy safe marketing and measurement. We explain how enterprises collaborate on data, run audience overlap and campaign analytics and unlock new revenue opportunities without sharing raw data or exposing identities. This is for teams looking to move from fear based data protection to value based data collaboration for shared value.

    13 分钟
  8. Monetising Data for AI Training

    1月18日

    Monetising Data for AI Training

    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 types of data are most valuable and the governance principles that protect both organisations and customers. A practical guide for organisations exploring AI driven data monetisation.

    11 分钟
  9. Inside a Data Monetisation Unit

    1月7日

    Inside a Data Monetisation Unit

    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 the characteristics that separate high performing DMUs from stalled initiatives. This is your guide to build repeatable data revenue.

    10 分钟
  10. How to Identify High Value Data Products

    2025/12/05

    How to Identify High Value Data Products

    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.

    10 分钟
  11. The 6 Barriers Preventing Enterprises from Monetising Their Data

    2025/11/20

    The 6 Barriers Preventing Enterprises from Monetising Their Data

    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.

    9 分钟
  12. Episode 1: The 5 Myths of Data Monetisation

    2025/11/11

    Episode 1: The 5 Myths of Data Monetisation

    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: Why data monetisation isn't about selling data, it's about creating value. The difference between internal and external monetisation. Why perfection isn't required, progress is. The role of privacy and compliance as enablers, not barriers. How to start small, prove value, and scale sustainably.

    8 分钟
  • 12 集

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Where data becomes revenue. Hosted by Matthew Bernath, this podcast explores how organisations transform their data into commercial value, responsibly, securely, and at scale. Each episode unpacks real world strategies, frameworks and success stories from leaders turning insights into direct alternative income.

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