019 - Zoopla: Monetising Data Products – Is Data Really the New Oil?

from Stacked Data Podcast · host Harry Gollop

In our latest episode of The Stacked Data podcast, I’m joined by Veronica Saha, Head of Analytics at Zoopla (part of Houseful), as she shares real-world examples and strategies on data monetization.In 2024, data teams need to evolve beyond being mere support functions; they must become strategic drivers. Many data teams have struggled to show/prove their true value. The monetisation of data comes in many different forms, however, it's clear that raw data is not valuable on its own.Data only hold value as insight driving decisions. It needs to be packed into a PRODUCT!We discuss the need to treat data as a product in order to effectively implement a monetisation strategy.🎙️ Episode Highlights: Defining      Data Monetization: What exactly do we mean by 'data monetisation'?      When is the right time to think about it? How can data create business      value? Identifying      Opportunities: How do you identify areas for data monetization? What's      the role of technical architecture in this process? Building      a Revenue-Focused Team: Challenges and considerations in building a      team focused on generating revenue through data products. Feedback      Loops and Continuous Improvement: Establishing effective feedback      loops and optimizing data products for better monetization outcomes. Securing      Leadership Buy-In: Challenges in securing sign-off and budget from      leadership. Common      Challenges and Lessons Learned: Insightful lessons from Zoopla's      journey in overcoming challenges in data monetization.

What this episode covers

In our latest episode of The Stacked Data podcast, I'm joined by Veronica Saha, Head of Analytics at Zoopla (part of Houseful), as she shares real-world examples and strategies on data monetization. In 2024, data teams need to evolve beyond being mere support functions; they must become strategic drivers. Many data teams have struggled to show/prove their true value. The monetisation of data comes in many different forms, however, it's clear that raw data is not valuable on its own. Data only hold value as insight driving decisions. It needs to be packed into a PRODUCT! We discuss the need to treat data as a product in order to effectively implement a monetisation strategy. 🎙️ Episode Highlights: 1. Defining Data Monetization: What exactly do we mean by 'data monetisation'? When is the right time to think about it? How can data create business value? 2. Identifying Opportunities: How do you identify areas for data monetization? What's the role of technical architecture in this process? 3. Building a Revenue-Focused Team: Challenges and considerations in building a team focused on generating revenue through data products. 4. Feedback Loops and Continuous Improvement: Establishing effective feedback loops and optimizing data products for better monetization outcomes. 5. Securing Leadership Buy-In: Challenges in securing sign-off and budget from leadership. 6. Common Challenges and Lessons Learned: Insightful lessons from Zoopla's journey in overcoming challenges in data monetization.