When I originally wrote this post, I thought that the author of this chart should be applauded for a level of creativity akin to some sort of “evil genius.” In fact, I had the words “evil genius” in the working title.
For this final post, we are going to dive deeper into the weeds of the positive tips and tricks for staying sane in an ethically-questionable world. Or rather, what I personally do to try to stay grounded in what I believe is ethical and moral.
In this post we’ll delve into the data science portion of “Ethics in Data Science”. We’ll look at our current system of self-regulation, possible models of external regulation, and the implications for ethical data scientists. This is the second in a series. If you haven’t already, catch up and read part one. Uncle Bob’s talk Robert… Read more
If you answered yes to all of the below, you should switch to time series analysis; Does your business of work with humans? Would you like to understand them? Influence them? Do you use data for that? Most people in the business of serving humans or crunching data will need to consider where their analytics… Read more
Do you think all the responses in that survey of yours are equal in value? Think again. Read on to find how your survey responses fail and how it will affect in your data analysis. A screenshot showing a glimpse of data in a real employee engagement survey. Check out the picture above. The picture… Read more
The moments in our lives when we give and receive feedback are some of the most crucial, impactful interactions we have in our lives. I have observed that giving feedback can have long-lasting repercussions, whether they are done well or poorly. If we want to make the world a better place, shouldn’t we learn to give feedback well?
Before reading this post, you may want to check out my previous posts about the One Metric That Matters (OMTM). In part one, I explained why OMTM was problematic in general. In part two, I shared an alternative to OMTM when tracking growth. This third post focuses on using the OMTM as an antidote against… Read more
Business growth is easier with more than one metric. Trying to apply the “One Metric That Matters” (OMTM) to a company you wish to be successful is a myopic recipe for failure. Instead, you must use a collection of metrics to provide a realistic assessment.
Companies require more than one metric to succeed. Have you heard of the “one metric that matters” (OMTM)? This concept was first introduced to me through the book Lean Analytics, by Alistair Croll and Ben Yoskovitz. I have a lot of respect for Ben and Alistair. I’m a proud owner of two copies of Lean… Read more