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

Women holding binoculars

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 cover the “how.” Human-centered design for data products and data science solutions doesn’t happen without … 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.

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 at data projects, but if you don’t focus on the people involved, you can easily … 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!

(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 data, and BI projects fail. And the numbers are staggering. Here’s a list of articles … Read moreFailure rates for analytics, AI, and big data projects = 85% – yikes!

Analytics Translators = Data Product Management + Service Design?

Bridge to island

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 think the skills are really important. The question is, do you really need another role/headcount, … Read moreAnalytics Translators = Data Product Management + Service Design?

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

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 the schedule this week, in lieu of writing a longer insight piece, I thought I … 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

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 prediction, the challenge within the design starts to change. Whereas before, we might be dealing … 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?

Stressed office worker at laptop.

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 concepts with design I like clients to think about with analytics is around whether your … 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?

Check engine light on car dashboard illuminated

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 CEL, or check-engine light, is that often cryptic, blood-pressure-raising notification that mostly just makes you … 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

Engagement Rings

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 the quantity of engagement. Gartner just posted new numbers in early 2019; once again, 80% … Read moreWhy Low Engagement May Not be the Problem With Your Data Product or Analytics Service

Keeping Analytics Solutions in Check with Customer Needs

Toy men assembling something with frustration

AI and Machine Learning Are Not a Panacea for Underused Analytics Services Ears, Eyes and Empathy Guide the Best MVPs Since AI, predictive, and prescriptive analytics are big right now, there is a tendency for companies to “want” to use this technology and throw it into their marketing jargon as well. Boards and executives are … Read moreKeeping Analytics Solutions in Check with Customer Needs