PODCAST

The Data Product Mindset

Episode 7: When does data become a product?

Beth Lyons, a former product leader at Tableau and KAWA, sits down with Harbr co-founder Anthony Cosgrove to discuss:

  • When (and how) data becomes a product
  • The nuances of data product management and data engineering — and where one ends and the other begins
  • Her unique design process and approach to building data products

Episode 6: Data beyond tables: How to design and fund powerful data products

This latest episode is your blueprint for creating powerful, in-demand data products.

Harbr founder Anthony Cosgrove talks with smart city expert Peter Bjørn Larsen about creating multi-modal data products with user-centric design and ROI at the core. Join their conversation as they go deep on data product management:

  • Moving beyond tables: Discover how to design multi-modal data products that include APIs, dashboards, and apps to cater to different user needs.
  • Funding your data dreams: Learn how to identify a wide range of use cases for your product, opening up diverse funding opportunities.
  • Template magic: Maximize your return on investment by using the same data product template across different contexts.
  • Decoding user desires: Uncover the secret to understanding what users truly want. (Hint: it’s not just the data, it’s the actionable insights.)

Episode 5: Looking at data through a business lens with David Hardoon

Why do some data projects fail to deliver on their promise? According to David Hardoon, CEO of Aboitiz Data Innovation and former CDO of UnionBank, the problem lies in not looking at data projects through a business lens.

Join David’s lively conversation with Harbr co-founder Anthony Cosgrove as they discuss:

  • The required shift in mindset to data and AI being seen as a business product that drives business results
  • The importance of starting with smaller, achievable projects that demonstrate value and gain user adoption
  • Why having a strong data foundation is essential for successful AI implementation

 

 

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Episode 4: Getting data transformations to succeed with Benny Benford

Why do most data transformation projects fail? And more importantly, how can data leaders buck this trend and write their own success story?

Benny Benford, founder of Datent and former CDO of Jaguar Land Rover, explains to Harbr co-founder Anthony Cosgrove his key lessons about delivering value through data. They discuss:

  • The reasons why most data transformation projects don’t succeed
  • What you should be measuring with data products
  • Why you shouldn’t worry about technology

Episode 3: 4 principles of successful data product management

What is the secret to successful data product management? According to Caroline Zimmerman, Data Products & Strategy Director at Profusion, there are four foundational principles that are key to any project.

In this entertaining and wide-ranging conversation, join Harbr co-founder Anthony Cosgrove as he learns from Caroline:

  • How do define and align on success criteria
  • Why and how to understand your users and their true context
  • The secret to delivering incremental value as you iterate

Episode 2: Bringing data products to market

How do you identify valuable data products and bring them to market? According to Patrick Jacolenne, CEO at Datalogiq360, you must bring in the voice of the customer.

Join us as Harbr co-founder Anthony Cosgrove discusses a variety of topics with Patrick, including:

  • The essential components needed for businesses to productize and monetize data
  • The key drivers for building a strong foundation to monetize data
  • Who the best sponsors of these initiatives are — and how to get them to buy in

Episode 1: Finding the balance between concept and deployment

How do you strike the balance between creating data products and actually taking them to market?

The answer lies in the data product mindset. Join us as Harbr co-founder Anthony Cosgrove hears from data product management experts Chanade Hemming and Nick Zervoudis on a variety of topics, including:

  • The ‘murkiness’ between data product development and go-to-market (GTM)
  • Product management as storytelling
  • Making your product ‘good enough’
  • Zero to one, not zero to one hundred
  • Why small scale gives better results
  • Balancing quick wins with your long-term vision
  • Combining engineering excellence with the product mindset