Data Product Management Maturity Model (v. 0.5)

I’ve developed a 4-level maturity model for data product management in enterprises, ranging from unaware order-takers to mature, cross-functional teams delivering strategic, high-value data products. Though imperfect, this emerging model aims to provide insights for assessing and advancing organizational maturity in this space.

15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) 

A bunch of human hands in a circle, each holding 1 lego character.

You probably rock at building enterprise ML and analytics applications, software products, and dashboards-but if buyers, stakeholders, and users just aren’t seeing the value, your problem isn’t your tech. Similarly, the solution is not in your code, pipeline, model, or GitHub. However, there are tactics and strategies from UX design, product management, psychology, marketing and other fields that you can apply so your technical work has impact, creates delight, and generates value.

What was wrong with this founder’s SAAS Analytics UI?

White brick wall with black lines and orange dots

“Can you take a look at my UI and provide feedback?” It’s a common question I get. How do we judge a UI/UX design of an SAAS analytics tool? By understanding what the customer is trying to do and what a meaningful outcome looks like. What are the signs we’re on track? Learn more in this story from my time advising MIT Sandbox Venture Fund founders.

10 reasons your customers/stakeholders don’t make time for your data science and analytics initiatives

If you’re running an internal enterprise data science or analytics team, and you can’t get the time of your stakeholders and business partners “to help you help them,” there’s probably a reason – or two – or three. These are some of the cold hard facts that maybe they won’t tell you–but maybe they are … Read more

How Adopting a Product Mindset Can Improve the UX and ROI of Your Data Science and Analytics Work

A variety of colored pencils pointing up , lined up in a row to look like a bar chart.

The work of enterprise data science and analytics teams is often experienced in software—whether it be via custom apps, dashboards, or BI tools. As such, data teams are software teams—but many of them do not build solutions the way the best software product teams do. What can data leaders learn—and steal—from software teams who put … Read more

Why you need to stop saying yes when they ask, “can you build us a dashboard that shows this data?”

Yes We Can written in scrabble pieces.

If there’s one thing I see a lot of in my work, it’s dashboards.  I don’t talk about dashboards a ton because a dashboard alone is neither a data product nor an experience. It is an output and artifact that is part of a user or stakeholder’s overall experience, typically in our case, in some decision making context. … Read more

My Top 10 Predictions for Data Product Leaders in 2022

Colorful sprinkle-covered Doughnuts up close

Below are ten 2022 predictions for data product leaders and organizations trying to leverage ML and analytics in their software, tools, apps, and services. From the lens of a consulting product designer. Yea, you head that one right. If that PhD in physics, statistics, math or engineering in you is already making you cringe, you may depart this … Read more