Leverage citizen data scientists to be efficient in their primary roles while promoting a data informed culture using Kotter’s dual operating system.
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?
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.