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Recent Articles by Brian

10 Sample Questions to Ask Users of Data Science Solutions to Solicit Needs and Get Problem Clarity

By Brian O'Neill

This is a two-part article focused on “what” to ask users of data science solutions and data products, and how to ask/conduct these types of research sessions. In part one, we will look at the “what,” and part two will … Read more10 Sample Questions to Ask Users of Data Science Solutions to Solicit Needs and Get Problem Clarity

Think clean data is the blocker to your AI/Data Science initiative? Try people.

By Brian O'Neill

A few years ago when I started DFA, I wrote this article that aggregates many of the studies on failure rates for big data, analytics, and now AI projects. It serves as a reminder that you can keep throwing money … Read moreThink clean data is the blocker to your AI/Data Science initiative? Try people.

Failure rates for analytics, AI, and big data projects = 85% – yikes!

By Brian O'Neill

(Note: this article is updated from time to time as I encounter similar studies and news on this theme.) Not to be the bearer of bad news, but I recently found out just how many data science, analytics, IOT, big … Read moreFailure rates for analytics, AI, and big data projects = 85% – yikes!

Analytics Translators = Data Product Management + Service Design?

By Brian O'Neill

There’s a lot of buzz about analytics translators these days. In general, I find the name to be a really poor choice for what effectively is a product management role applied to internal data science or analytics services. But, I … Read moreAnalytics Translators = Data Product Management + Service Design?

A giant mess, peeps to follow, and an “anatomy of a decision”

By Brian O'Neill

This post is from Brian’s weekly mailing list. As I write this, I’m heading off to London for another edition of O’Reilly’s Strata conf. If you are headed there, you can catch my talk and mini-workshop on Wed, May. With … Read moreA giant mess, peeps to follow, and an “anatomy of a decision”

C-E-D: A Design (UX) Framework for Integrating Advanced Analytics into Decision Support Software

By Brian O'Neill

A three-part UX framework for designing your ML / predictive / prescriptive analytics UI around trust, engagement, and indispensability. As you continue to design interfaces and experiences into your analytics tools that rely more and more on machine-based analysis and … Read moreC-E-D: A Design (UX) Framework for Integrating Advanced Analytics into Decision Support Software

How do you make data products and services engaging without AI and advanced analytics?

By Brian O'Neill

Low engagement; it’s a common challenge for many of my clients and the people I talk to in the analytics world. In fact, it’s the subject of my talk this year at the IIA Symposium next week. One of the … Read moreHow do you make data products and services engaging without AI and advanced analytics?

Is an engineering or data-driven culture driving your current data product or analytics initiative toward risk?

By Brian O'Neill

Here are (25) design faults that should trigger the check-engine light I really don’t know much about cars. Furthermore, with all the computers on them now, I probably never will. However, I do care when the “CEL” goes on. The … Read moreIs an engineering or data-driven culture driving your current data product or analytics initiative toward risk?

Why Low Engagement May Not be the Problem With Your Data Product or Analytics Service

By Brian O'Neill

If you’re concerned about low engagement with your enterprise data product, analytics service, or decision support tool, then you might be focusing on the wrong problem. What you need to do is design an engaging experience, instead of focusing on … Read moreWhy Low Engagement May Not be the Problem With Your Data Product or Analytics Service