Data science practitioners need to have the non-technical skills to be effective collaborators with business/product stakeholders. Brian’s session was great, relevant, and on the mark for our audience of technical people and business sponsors."
One of the best webinars I have been a part of in awhile. The presenter had more than a product to sell, and Brian gave us 9 pertinent questions to ask ourselves when designing analytics for our users. Great!
Thank you so much for your outstanding leadership in our field. We really appreciate your value-added materials and presentation that advance the product management profession.
Conference Talks & Keynotes
- 2020 Keynote: Boston College MS in Applied Economics
- 2019 Product Management Association (PDMA) Webinar
- 2019 Product Management Association (PDMA) Conference "Disruption by Design"
- 2019 MinneBOS Conference at Boston University (Minneanalytics)
- 2019 Predictive Analytics World (London)
- 2019 International Institute for Analytics Symposium (Portland)
- 2019 Enterprise Data World (Boston)
- 2019 O'Reilly Strata Conference (London
- 2018 O'Reilly Strata Conference (NYC)
- 2018 Predictive Analytics World (Berlin)
- 2018 O'Reilly Strata Conference (London)
- 2017 O'Reilly Strata Conference (NYC)
- UX Boston Meetup
- Want me to speak at your company?
View my private webinar offerings
Great session, very different approach to other sessions experienced so far. It's incredible how difficult it is to ask open questions 😉
Really liked this topic
UX is a big part of how we'll get analytics to the next level. (10/10). Really liked this topic and viewpoint! (9/10)
Brian is the host of the podcast, Experiencing Data, and has also appeared as a guest on the following shows (in chronological order):
From time to time, I post webinars I have given here. You can also hire me to give a webinar to your audience, selecting from these topics or see the topics below.
I had the opportunity to listen to Brian as a guest on the latest UI Breakfast podcast this Saturday while I was cleaning up around the apartment, and I found myself rewinding a few times to make sure it sunk in. It was the first time in a while I have heard someone describe so succinctly the value of using data in a thoughtful and impactful way. The 86 number and doughnut example was felt all too close to home. I feel like a lot of my job is explaining and pitching the importance of not just using all the fancy design tools because it's cool and some organizations can (which is awesome, there's a lot of great design out there!) but really being thoughtful about these choices and making sure they bring value to the person at the end of the system making decisions or using the design. I'm a big proponent of simplicity. Altogether, it really spoke to me!