15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates)You probably rock at building enterprise ML and analytics applications, software products, and dashboards—but if buyers, stakeholders, and…Nov 8, 2023Nov 8, 2023
10 reasons your customers/stakeholders don’t make time for your data science and analytics…If you’re running an internal enterprise data science or analytics team, and you can’t get the time of your stakeholders and business…Apr 5, 2023Apr 5, 2023
Why you need to stop saying yes when they ask, “can you build us a dashboard that shows this data?”If there’s one thing I see a lot of in my work, it’s dashboards.Feb 14, 2022Feb 14, 2022
Published inTowards Data ScienceMVPs: The Slow, Expensive Way to Build Data Products?Jul 21, 2021Jul 21, 2021
Published inTowards Data Science10 challenges internal data leaders will face creating a revenue-generating data productJul 6, 2021Jul 6, 2021
Published inBootcampWhy software teams need to look beyond “user-centered” when referring to ML or AI-driven data…As a designer, I used to say “user-centered”—a lot. It’s terminology we now hear from non-designers now, people like many of you.Jun 24, 2021Jun 24, 2021
Published inBootcampHeads vs. handsIf you’re struggling to solve human problems with data, the mindset of your analytics org may be the problem.Mar 18, 2021Mar 18, 2021
Published inTowards Data ScienceHow to get 1x1 access to users of enterprise data products—when your own company is in the wayAre you a leader in charge of creating innovative ML and analytics solutions within a very large enterprise organization?Dec 21, 2020Dec 21, 2020