One trend in analytics and data science I am hearing from the top thought leaders in this space is that (finally!) companies are realizing that the biggest opportunities for data that lay before us is in the pursuit of new products or enhancing existing ones, as apposed to solely focusing on incremental operational improvements. Gartner’s … Read moreHow to become unemployed as a data leader
License our latest AI automation platform now, and get a free “Ethics Power Boost” for your next analytics or data science solution for just an additional $2.5M! That’s half off the standard price of $5M, but it’s for a limited time only. Look – why not make your solution ethical right out of the box … Read moreEthics used to be a hassle. Now it’s not: Introducing Ethicize™, the fully AI-driven cloud-based ethics solution!
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
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.
(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!
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 UX and UI framework for designing effective decision support software applications that leverage data science and analytics.
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?
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?
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