Nobody Wants ML, AI, and Analytics.

Customers and users want a UX that provides indispensable decision support, useful insights, and actionable intelligence—their way. 

Before business value can emerge from your data product, there must be adoption, trust, usabilty and utility. 

This is the domain of human-centered design.

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Nancy Duarte Nancy Duarte
Principal @ Duarte
Author & TED Speaker
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Recent Articles by Brian

Analytics Translators = Data Product Management + Service Design?

By Brian T. 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 more

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

By Brian T. 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 more

CED: A UX Framework for Designing Analytics Tools That Drive Decision Making

By Brian T. O'Neill

A UX and UI framework for designing effective decision support software applications that leverage data science and analytics.

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

By Brian T. 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 more

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

By Brian T. 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 more

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

By Brian T. 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 more

Keeping Analytics Solutions in Check with Customer Needs

By Brian T. O'Neill

Ears, Eyes and Empathy Guide the Best MVPs AI and Machine Learning Are Not a Panacea for Every Analytics Problem  Since AI, predictive, and prescriptive analytics are big right now, there is a tendency for companies to “want” to use … Read more

Designing MVPs for Data Products and Decision Support Tools

By Brian T. O'Neill

Author’s Note: This article was originally published to my mailing list, hence the reference to previous emails and published podcast episodes.   Before I jump into this week’s article on MVPs for custom data products, just wanted to address one listener’s … Read more

Does your data product enable surgery, or healing?

By Brian T. O'Neill

I recently started playing percussion in a new Celtic ensemble in Boston called Ishna, and we were recently invited to be a guest artist with Symphony NH (New Hampshire). After our concerts concluded, the executive director invited Ishna to a … Read more