Free Insights on Designing Custom Enterprise Data Products
Free Self-Assessment Guide
Download my free DFA Self-Assessment Guide–specifically crafted for non-designers–to improve the design of custom enterprise data products and analytics services.
Recent Insight Articles by Brian
I’m working with a large, household-name technology company right now on a large project, and they struggle with one of the same things so many of my clients struggle with. Today’s topic is articulating use cases and goals in an … Read moreHow can you possibly design your service effectively without these?
Today I want to respond to a reader who answered a previous email I sent you all about your top concerns designing for analytics. Here’s Évans’ email: +++++ In analytics, it’s not like a CRUD [Create-Read-Update-Delete] with a simple wizard-like workflow (Input … Read moreReader questions answered: “what are your top concerns designing for analytics?”
This is recording of my presentation at the O’Reilly Strata Data Conference in New York City in 2017. Do you spend a lot of time explaining your data analytics product to your customers? Is your UI/UX or navigation overly complex? … Read moreVideo Sample: O’Reilly Strata Conf
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 … Read moreUI Review: Next Big Sound (Music Analytics) – Part 1
(As shown to customers in your UI) I’m talking to a prospective SAAS client right now, and they’re trying to expose some analytics on their customers’ data so that the customers can derive ROI from the SAAS on their own. … Read moreGetting confidence in the value of your data
If you are starting out on a new feature design, or analytics effort, can you clearly state what the value will be in quantifiable terms at the end of the sprint? Are you building an “exploratory” UI, or one that … Read moreTips to help focus your analytics design/engineering efforts on results