Win By Keeping Data Science Simple

Getting too fancy by using complex and layered data science approaches can magnify the issues in data instead of controlling them. This blog will explain why and illustrate with a real-world example that I also discussed in The Analytics Revolution to show that the old rule of keeping it simple fully applies to complex areas like data science.

A Surprising, But Recurring, Pattern

One pattern surprised me when I was first confronted with it. Namely, when building analytical processes that must be ...