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If you’re a leader tasked with generating business and org. value through ML/AI and analytics, you’ve probably struggled with low user adoption. Making the tech gets easier, but getting users to use, and buyers to buy, remains difficult—but you’ve heard a ”data product” approach can help. Can it? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I offer you a consulting designer’s perspective on why creating ML and analytics outputs isn’t enough to create business and UX outcomes. How can UX design and product management help you create innovative ML/AI and analytical data products? What exactly are data products—and how can data product management help you increase user adoption of ML/analytics—so that stakeholders can finally see the business value of your data? Every 2 weeks, I answer these questions via solo episodes and interviews with innovative chief data officers, data product management leaders, and top UX professionals. Hashtag: #ExperiencingData. PODCAST HOMEPAGE: Get 1-page summaries, text transcripts, and join my Insights mailing list: https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/
Episodes
Tuesday Sep 19, 2023
Tuesday Sep 19, 2023
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 newest and shiniest technology. We also discuss the challenges that come with building a product that’s designed to facilitate the creation of better internal data products, as well as where we are in this new wave of data product management, and the evolution of the role.
Highlights/ Skip to:
- I introduce Anthony, General Manager of Data Products at Tamr, and the topics we’ll be discussing today (00:37)
- Anthony shares his observations on how BI analytics are an inch deep and a mile wide due to the data that’s being input (02:31)
- Tamr’s focus on data products and how that reflects in Anthony’s recent job change from Chief Product Officer to General Manager of Data Products (04:35)
- Anthony’s definition of a data product (07:42)
- Anthony and I explore whether he feels that decision support is necessary for a data product (13:48)
- Whether or not Anthony feels that Tamr qualifies as a data product (17:08)
- Anthony speaks to the importance of focusing on outcomes and benefits as opposed to endlessly knitting together features and products (19:42)
- The challenges Anthony sees with metrics like Propensity to Churn (21:56)
- How Anthony thinks about design in a product like Tamr (30:43)
- Anthony shares how data science at Tamr is a tool in his toolkit and not viewed as a “fourth” leg of the product triad/stool (36:01)
- Anthony’s views on where we are in the evolution of the DPM role (41:25)
- What Anthony would do differently if he could start over at Tamr knowing what he knows now (43:43)
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