When gathering requirements for data solutions focus on these 2 things:
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.
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
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 […]
What is technical debt and why the metaphor cannot be extended to data science.
Leverage citizen data scientists to be efficient in their primary roles while promoting a data informed culture using Kotter’s dual operating system.
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.
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?
To visualize or not to visualize data? When are tables better than graphs? What is cognitive fit and why it matters?
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.