Decision Modeling, Design Thinking
When gathering requirements for data solutions focus on these 2 things:
20 Questions to Ask Before Designing Your Next Dashboard
Here I share 20 questions that you should ask before designing a dashboard and 5 questions to ask after. These questions are set in a template to build consensus and facilitate communication with the stakeholders through the design process.
A FAIR Data Strategy. (a.k.a when to say no)
Saying ‘no’ is the difference between speed and velocity. Here are 4 principles that give data teams a strategic and concise way to explain why they can or cannot support a solution
Ma, what is data?
As I was discussing work with my husband during lunch, my 4-year old paused me to ask “Ma, what is data?”. I have been waiting for this day for a while now, especially since I have been working from home […]
No Such Thing as Scientific Debt.
What is technical debt and why the metaphor cannot be extended to data science.
How to Organize the Citizen Data Scientists
Leverage citizen data scientists to be efficient in their primary roles while promoting a data informed culture using Kotter’s dual operating system.
How NOT To Lie With Statistics “On Average”
If you drove to work at 20 mph and returned from work at 30 mph, what was your average speed for the round trip? If you answered 25 mph, read on to learn why that is incorrect.
Importance of Pursuing Ignorance in Data Science
Why do 80% of data science projects fail? Why is pursuit of ignorance critical for their success? Why “bad” data is actually an asset? How can the Johari Window help?
When NOT to use Data Visualization
To visualize or not to visualize data? When are tables better than graphs? What is cognitive fit and why it matters?
Trough of Disillusionment and the Pythagorean Cup
This post extends the application of the Hype Cycle to an organization’s data and analytics initiatives by integrating a data maturity model into it. It also visualizes the drastic onset of negative hype using pythagorean cup.