Video Sample: 2018 O’Reilly Strata Conference (NYC)

This is recording of my presentation at the O’Reilly Strata Data Conference in New York City in 2018. Gartner says 85%+ of big data projects will fail, despite the fact your company may have invested millions on engineering implementation. Why are customers and employees not engaging with these products and services? Brian O’Neill explains why a … Read moreVideo Sample: 2018 O’Reilly Strata Conference (NYC)

Reasons your next sprint, product, or project might fail

Good design happens at the intersection of discovering real user needs/wants and business goals that are ACTIONABLE (by design and engineering). Yes, there’s a little magic/instinct that creeps into good design too, but you can get far without a lot of this magic. It’s really more about nailing the problem set, and having really clear … Read moreReasons your next sprint, product, or project might fail

Dashboard Design: Is Maximum Simplicity the Goal?

Should maximum simplicity dictate success? We all love usability these days right? “User experience is important.” Of course it is! But, it doesn’t mean that every user you show the design to is going to, or should immediately be able to, understand fully what you’re showing them. Why? Most valuable things in life take a … Read moreDashboard Design: Is Maximum Simplicity the Goal?

UI Review: Next Big Sound (Music Analytics) – Part 1

Today I got an interesting anomaly email from a service I use called Next Big Sound. Actually, I don’t use the service too much, but it crosses two of my interests: music and analytics. Next Big Sound aggregates music playback data from various music providers (Spotify, Pandora, etc) and also, apparently, tries to correlate changes … Read moreUI Review: Next Big Sound (Music Analytics) – Part 1

Here are (5) dashboard design suggestions you can start to apply today

If you’re in the analytics space, then you almost certainly have at least one “dashboard” customers use.  I generally define dashboards as the landing page for your product when people log in, and so keep that in mind as you browse today’s design suggestions: Your dashboard is probably too low on information density.  Dashboards with … Read moreHere are (5) dashboard design suggestions you can start to apply today

A Visual Introduction to Probability and Statistics

If you’re working on data or analytics products, then you’ll want to check this out whether it’s a refresher, or something to share with your team: Seeing Theory is a great visual introduction to probability and statistics from Brown University created specifically by Daniel Kunin. Enjoy! Visit http://students.brown.edu/seeing-theory/index.html More Free Insights: Subscribe Now to the … Read moreA Visual Introduction to Probability and Statistics

Here’s a fast way to evaluate the utility of your dashboard design

Here’s a super easy thing you can do today to evaluate your data product’s dashboard. If you’re displaying quantitative data of any sort, especially trends, then this will probably help you come up with opportunities to improve your design. Of course, testing the design with real users is always the best way to evaluate your … Read moreHere’s a fast way to evaluate the utility of your dashboard design

What happens when you use templates for dashboards and analytics products?

I hear it all the time on Quora, in real life, and from clients: “What BI tool should we use to visualize our data? Is there a good dashboard template you know of?” When it comes to designing analytics products and dashboards, templates and libraries aren’t necessarily bad, if you have spent the time to … Read moreWhat happens when you use templates for dashboards and analytics products?

Maybe your product’s problem is information *underload*

We’ve all heard about information overload, and the paradox of choice. Don’t you love those thai menus with every type of sauce, noodle, and protein, all written out as separate dishes? “I’ll have item D132 with no water chestnuts….no, I mean the one with chicken on page 12….yeah, that one.” There’s a ton of data … Read moreMaybe your product’s problem is information *underload*