When I work on products that primarily exist to display analytics information, I find most of them fall into roughly four different levels of design maturity: The best analytics-driven products give actionable recommendations or predictions written in prose telling a user what to do based on data. They are careful about the quantity and design of the … Read moreWhat internal analytics practitioners can learn from analytics “products” (like SAAS)
Not to be the bearer of bad news, but I recently found out just how many analytics, IOT, big data, and BI projects fail. And the numbers are staggering. Here’s a list of articles and primary sources. What’s interesting to me about many of these is the common issue around “technology solutions in search of … Read moreFailure rates for analytics, BI, and big data projects = 85% – yikes!
I ran into a an article about the Chief Data & Analytics Officer, Fall conference that summarized some of the key takeaways at the previous year’s conference. One paragraph in the article stuck out to me: … The Great Dilemma – Product vs Project vs Capability Analytics Approaches Although not one of these approaches will provide a … Read moreMy reactions to the Chief Data Officer, Fall 2017 conference summary
(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. The intent is that the data can also be useful to the SAAS sales team, … 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 is supposed to drive home conclusions for the customer? When clients come to me about … Read moreTips to help focus your analytics design/engineering efforts on results
Post-truth. The 2016 word of the year. Yikes for some of us. This got me thinking about UX around data, analytics, and information, and what it means when we present conclusions or advice based on quantitative data. Are those “facts”? If your product generates actionable information for customers, then during your design phase, your team … Read more“Post-truth,” data analytics, and omissions–are these design considerations?
Try cutting features out of it. Apparently, that whole quote from Michaelangelo about “I just carve away the part of the statue that doesn’t look like David” is a myth. But, it’s a good myth for design thinkers. It helps me remember that you can add customer value by removing materials from a design. We talk a … Read moreThink it’s hard building an analytics product or service? Try cutting features out.
“Marketing analytics can have substantial impact on a company’s growth. But if companies cannot figure out how to make the best use of it, in the end, it’s just another expense.”–McKinsey As most of you know by now, I’m particularly interested in helping companies create indispensable data and analytics products–you know, the kind that actually … Read moreDo you need an “analytics translator” or just better design?
Ok, you probably know this one, but let’s dig in a little farther. I recently started to explore using the TORBrowser when surfing on public wi-fi for more security (later finding out that using a VPN, and not TOR, is what will enable safer surfing). However, in the process of downloading and trying the TORBrowser … Read moreWhat’s the #1 way you can simplify your service?
On a lot of analytics-driven projects, I am told by my clients that there are many possible use cases or user stories that the design needs to support. Why so many? I think it stems from the fact that products and companies are collecting more and more data, and so the logical assumption is that there … Read moreHow deriving use cases from your data/analytics may be costing your company $?