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Does the value of your insights, analytics, or automated intelligence product sometimes feel invisible to buyers and users? Does your product have impressive analytics and AI technology, but user adoption and sales still are not where you want them to be?
While it has never been easier to build data-driven products, why does it still seem so hard to build indispensable data products that users can't live without—and will gladly pay for?
I’m Brian T. O’Neill, and on Experiencing Data — a Listen Notes top 2% global podcast — I help founders and B2B software product leaders close the Invisible Intelligence Gap through solo episodes and interviews with leaders at the intersection of product management, UX design, analytics, and AI.
If you’re building analytics, BI, or automated intelligence (AI) products, this non-technical show will help you better connect your product to outcomes, value, and the human factors that still matter — even in the age of AI.
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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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