Brian O'Neill15 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…19 min read·Nov 8, 2023----
Brian O'Neill10 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…3 min read·Apr 5, 2023----
Brian O'NeillWhy 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.5 min read·Feb 14, 2022----
Brian O'NeillinTowards Data ScienceMVPs: The Slow, Expensive Way to Build Data Products?4 min read·Jul 21, 2021----
Brian O'NeillinTowards Data Science10 challenges internal data leaders will face creating a revenue-generating data product5 min read·Jul 6, 2021----
Brian O'NeillinBootcampWhy 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.3 min read·Jun 24, 2021----
Brian O'NeillinBootcampHeads vs. handsIf you’re struggling to solve human problems with data, the mindset of your analytics org may be the problem.2 min read·Mar 18, 2021----
Brian O'NeillinTowards 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?8 min read·Dec 21, 2020----