최고 Brian T. O’Neill 팟캐스트 (2024)

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141 - How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne 43:49

8d ago43:49

43:49

In this week's episode of Experiencing Data, I'm joined by Duncan Milne, a Director, Data Investment & Product Management at the Royal Bank of Canada (RBC). Today, Duncan (who is also a member of the DPLC) gives a preview of his upcoming webinar on April 24, 2024 entitled, “Is that Data Product Worth Building? Estimating Economic Value…Before You B…

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140 - Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ 42:44

22d ago42:44

42:44

This week on Experiencing Data, I chat with a new kindred spirit! Recently, I connected with Thabata Romanowski—better known as "T from Data Rocks NZ"—to discuss her experience applying UX design principles to modern analytical data products and dashboards. T walks us through her experience working as a data analyst in the mining sector, sharing th…

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139 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode) 51:02

1M ago51:02

51:02

This week on Experiencing Data, something new as promised at the beginning of the year. Today, I’m exploring the world of embedded analytics with Zalak Trivedi from Sigma Computing—and this is also the first approved Promoted Episode on the podcast. In today’s episode, Zalak shares his journey as the product lead for Sigma’s embedded analytics and …

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138 - VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures 33:05

2M ago33:05

33:05

In this episode of Experiencing Data, I speak with Ellen Chisa, Partner at BoldStart Ventures, about what she’s seeing in the venture capital space around AI-driven products and companies—particularly with all the new GenAI capabilities that have emerged in the last year. Ellen and I first met when we were both engaged in travel tech startups in Bo…

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137 - Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen 44:50

2M ago44:50

44:50

This week, I'm chatting with Karen Meppen, a founding member of the Data Product Leadership Community and a Data Product Architect and Client Services Director at Hakkoda. Today, we're tackling the difficult topic of developing data products in situations where a product-oriented culture and data infrastructures may still be emerging or “at odds” w…

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136 - Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman 44:16

3M ago44:16

44:16

This week I’m chatting with Caroline Zimmerman, Director of Data Products and Strategy at Profusion. Caroline shares her journey through the school of hard knocks that led to her discovery that incorporating more extensive UX research into the data product design process improves outcomes. We explore the complicated nature of discovering and buildi…

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135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations 52:47

3M ago52:47

52:47

This week, I’m chatting with Steve Portigal, who is the Principal of Portigal Consulting and the Author of Interviewing Users. We discuss the changes that prompted him to release a second version of his book 10 years after its initial release, and dive into the best practices that any team can implement to start unlocking the value of data product …

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134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies” 46:52

4M ago46:52

46:52

In this episode, I’m chatting with former Gartner analyst Sanjeev Mohan who is the Co-Author of Data Products for Dummies. Throughout our conversation, Sanjeev shares his expertise on the evolution of data products, and what he’s seen as a result of implementing practices that prioritize solving for use cases and business value. Sanjeev also shares…

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133 - New Experiencing Data Interviews Coming in January 2024 2:33

4M ago2:33

2:33

Today I am sharing some highlights for 2023 from the podcast, and also letting you all know I’ll be taking a break from the podcast for the rest of December, but I’ll be back with a new episode on January 9th, 2024. I’ve also got two links to share with you—details inside! Transcript Greetings everyone - I’m taking a little break from Experiencing …

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132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner 42:56

4M ago42:56

42:56

In this conversation with Klara Lindner, Service Designer at diconium data, we explore how behavioral science and UX can be used to increase adoption of data products. Klara describes how she went from having a highly technical career as an electrical engineer and being the founder of a solar startup to her current role in service design for data p…

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131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill 36:57

5M ago36:57

36:57

This week I’m covering Part 1 of the 15 Ways to Increase User Adoption of Data Products, which is based on an article I wrote for subscribers of my mailing list. Throughout this episode, I describe why focusing on empathy, outcomes, and user experience leads to not only better data products, but also better business outcomes. The focus of this epis…

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130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome 48:56

5M ago48:56

48:56

Today I’m joined by Nick Zervoudis, Data Product Manager at CKDelta. As we dive into his career and background, Nick shares insights into his approach when it comes to developing both internal and external data products. Nick explains why he feels that a software engineering approach is the best way to develop a product that could have multiple app…

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129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue 35:21

6M ago35:21

35:21

Today I’m joined by Marnix van de Stolpe, Product Owner at Coolblue in the area of data science. Throughout our conversation, Marnix shares the story of how he joined a data science team that was developing a solution that was too focused on the delivery of a data-science metric that was not on track to solve a clear customer problem. We discuss ho…

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128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst 53:01

6M ago53:01

53:01

Today I’m joined by Vishal Singh, Head of Data Products at Starburst and co-author of the newly published e-book, Data Products for Dummies. Throughout our conversation, Vishal explains how the variations in definitions for a data product actually led to the creation of the e-book, and we discuss the differences between our two definitions. Vishal …

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127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry 36:55

7M ago36:55

36:55

Today I’m joined by Jonathan Cairns-Terry, who is the Head of Insight Products at the Care Quality Commission. The Care Quality Commission is the the regulator for England for health and social care, and Jonathan recently joined their data team and is working to transform their approach to be more product-led and user-centric. Throughout our conver…

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126 - Designing a Product for Making Better Data Products with Anthony Deighton 47:38

7M ago47:38

47:38

Today I’m joined by Anthony Deighton, General Manager of Data Products at Tamr. Throughout our conversation, Anthony unpacks his definition of a data product and we discuss whether or not he feels that Tamr itself is actually a data product. Anthony shares his views on why it’s so critical to focus on solving for customer needs and not simply the n…

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125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao 44:42

8M ago44:42

44:42

Today I’m joined by Vera Liao, Principal Researcher at Microsoft. Vera is a part of the FATE (Fairness, Accountability, Transparency, and Ethics of AI) group, and her research centers around the ethics, explainability, and interpretability of AI products. She is particularly focused on how designers design for explainability. Throughout our convers…

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124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective 21:51

8M ago21:51

21:51

In this episode, I give an overview of my PiCAA Framework, which is a framework I shared at my keynote talk for Netguru’s annual conference, Burning Minds. This framework helps with brainstorming machine learning use cases or reverse engineering them, starting with the tactic. Throughout the episode, I give context to the preliminary types of work …

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123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill 27:17

9M ago27:17

27:17

Today I’m wrapping up my observations from the CDOIQ Symposium and sharing what’s new in the world of data. I was only able to attend a handful of sessions, but they were primarily ones tied to the topic of data products, which, of course, brings us to “What’s a data product?” During this episode, I cover some of what I’ve been hearing about the de…

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122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill 33:46

9M ago33:46

33:46

Today I’m answering a question that was submitted to the show by listener Will Angel, who asks how he can prioritize and scale effective discovery throughout the data product development process. Throughout this episode, I explain why discovery work is a process that should be taking place throughout the lifecycle of a project, rather than a define…

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121 - How Sainsbury’s Head of Data Products for Analytics and ML Designs for User Adoption with Peter Everill 39:40

10M ago39:40

39:40

Today I’m chatting with Peter Everill, who is the Head of Data Products for Analytics and ML Designs at the UK grocery brand, Sainsbury’s. Peter is also a founding member of the Data Product Leadership Community. Peter shares insights on why his team spends so much time conducting discovery work with users, and how that leads to higher adoption and…

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120 - The Portfolio Mindset: Data Product Management and Design with Nadiem von Heydebrand (Part 2) 41:35

10M ago41:35

41:35

Today I’m continuing my conversation with Nadiem von Heydebrand, CEO of Mindfuel. In the conclusion of this special 2-part episode, Nadiem and I discuss the role of a Data Product Manager in depth. Nadiem reveals which fields data product managers are currently coming from, and how a new data product manager with a non-technical background can set …

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119 - Skills vs. Roles: Data Product Management and Design with Nadiem von Heydebrand (Part 1) 37:12

11M ago37:12

37:12

The conversation with my next guest was going so deep and so well…it became a two part episode! Today I’m chatting with Nadiem von Heydebrand, CEO of Mindfuel. Nadiem’s career journey led him from data science to data product management, and in this first, we will focus on the skills of data product management (DPM), including design. In part 2, we…

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118 - Attracting Talent and Landing a Role in Data Product Management with Kyle Winterbottom 49:23

11M ago49:23

49:23

Today I’m chatting with Kyle Winterbottom, who is the owner of Orbition Group and an advisor/recruiter for companies who are hiring top talent in the data industry. Kyle and I discuss whether the concept of data products has meaningful value to companies, or if it’s in a hype cycle of sorts. Kyle then shares his views on what sets the idea of data …

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117 - Phil Harvey, Co-Author of “Data: A Guide to Humans,” on the Non-Technical Skills Needed to Produce Valuable AI Solutions 39:39

11M ago39:39

39:39

Today I’m chatting with Phil Harvey, co-author of Data: A Guide to Humans and a technology professional with 23 years of experience working with AI and startups. In his book, Phil describes his philosophy of how empathy leads to more successful outcomes in data product development and the journey he took to arrive at this perspective. But what does…

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1
Experiencing Data w/ Brian T. O’Neill - Data Products, Product Management, & UX Design

Brian T. O’Neill from Designing for Analytics

1
141 - How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne 43:49

1
140 - Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ 42:44

1
139 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode) 51:02

1
138 - VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures 33:05

1
137 - Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen 44:50

1
136 - Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman 44:16

1
135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations 52:47

1
134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies” 46:52

1
133 - New Experiencing Data Interviews Coming in January 2024 2:33

1
132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner 42:56

1
131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill 36:57

1
130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome 48:56

1
129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue 35:21

1
128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst 53:01

1
127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry 36:55

1
126 - Designing a Product for Making Better Data Products with Anthony Deighton 47:38

1
125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao 44:42

1
124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective 21:51

1
123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill 27:17

1
122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill 33:46

1
121 - How Sainsbury’s Head of Data Products for Analytics and ML Designs for User Adoption with Peter Everill 39:40

1
120 - The Portfolio Mindset: Data Product Management and Design with Nadiem von Heydebrand (Part 2) 41:35

1
119 - Skills vs. Roles: Data Product Management and Design with Nadiem von Heydebrand (Part 1) 37:12

1
118 - Attracting Talent and Landing a Role in Data Product Management with Kyle Winterbottom 49:23

1
117 - Phil Harvey, Co-Author of “Data: A Guide to Humans,” on the Non-Technical Skills Needed to Produce Valuable AI Solutions 39:39

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