The difference between design and Design

I am guessing if you’re reading this, it’s because there’s room for your analytics service or data product to get better, and maybe you know that simply adding more data sources, algorithms, bug fixes, or [insert today’s hype cycle tech], isn’t necessarily all there is to making it better. Like some of my clients, you … Read moreThe difference between design and Design

Design KPIs – what improvement did you celebrate in your last analytics software release?

I know to a lot of software teams, getting features/fixes/releases out the door feels like improvement. However, did you actually create or improve the value of your service? To to that, you have to understand what your users actually value, so you can align your efforts accordingly. Most of the time, these nuggets of useful … Read moreDesign KPIs – what improvement did you celebrate in your last analytics software release?

Dashboard Design: Is Maximum Simplicity the Goal?

Should maximum simplicity dictate success? We all love usability these days right? “User experience is important.” Of course it is! But, it doesn’t mean that every user you show the design to is going to, or should immediately be able to, understand fully what you’re showing them. Why? Most valuable things in life take a … Read moreDashboard Design: Is Maximum Simplicity the Goal?

From a data scientist on Medium: “It’s easy to not understand your customer’s needs.”

So a guy walks into a bar and starts talking about unsupervised learning… Ok, not quite. Well actually, where I live in Cambridge, MA, that’s not really so improbable 😉 I found this article on Medium interesting, written by a data scientist talking in part about why data science projects may not be working, and one of … Read moreFrom a data scientist on Medium: “It’s easy to not understand your customer’s needs.”

It’s the translation that makes your data sing – what song are you singing?

Some of you probably know by now that I’m also a musician, and this includes composing for my instrumental jazz/chamber music quintet. What does this have to do with translation of your data? When I talk about data in on the DFA mailing list, I’m usually talking about the raw ingredients that may (or may … Read moreIt’s the translation that makes your data sing – what song are you singing?

The Easiest Way to Simplify Your Product or Solution’s 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 moreThe Easiest Way to Simplify Your Product or Solution’s Design

(8) invisible design problems that are business problems

Today’s insight was originally inspired by a newsletter I read from Stephen Anderson on designing for comprehension, and I felt like this could be expanded on for analytics practitioners and people working on data products. One of the recurring themes I hear from my clients is around the topic of general engagement (or lack thereof) … Read more(8) invisible design problems that are business problems

What internal analytics practitioners can learn from analytics “products” (like SAAS)

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)

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

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!

My reactions to the Chief Data Officer, Fall 2017 conference summary

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