Data Science

One way to think about how to deliver data science insights is by using a "Data Science Life Cycle…

Getting people to ask better data questions is not always as simple as creating the right environment. Even a highly…

When you’re working with data (regardless of the size of your data sets), you’re likely to encounter two…

The growing volume of diverse data that organizations now collect and store has been a driving force behind the development…

Data visualization is the process of communicating data graphically. These can be tables, graphs, maps, timelines, matrices, tree diagrams, flow…

In a previous newsletter, I describe four common cultures that develop in various types of organizations: * Control * Collaboration * Cultivation * Competence…

Every organization has a culture that strongly influences employee beliefs, thinking, decision-making, and behaviors. According to MIT Professor Edgar Schein,…

In several previous newsletters I cover the essential elements of a data science story, but storytelling goes beyond the story…

As explained in my previous newsletter. A compelling story is more than just a chronology of events. If you present…

In Paul Smith's book Lead with a Story, he describes how the CEO of Procter & Gamble would…

In earlier newsletters I present a six-stage framework to structure the work a data science team performs and five techniques…

A project lifecycle can be a useful tool for structuring the process that a team follows. (A lifecycle is a…