Getting Up to Speed on Data Visualization

Data visualization is the process of communicating data graphically — in the form of tables, graphs, maps, timelines, matrices, tree diagrams, flow charts, and so on. Their purpose is to convey relationships, comparisons, distributions,...

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Overcoming Common Obstacles to Organization Culture Change

Building a data science culture means different things to different organizations. It may mean introducing a new data science team to the organization, democratizing the data so everyone has access to the data and the business intelligence (BI)...

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Busting Common Myths of Organizational Change

In my previous post, Identifying Your Culture, I describe four common cultures that develop in various types of organizations:

  • Control
  • Collaboration
  • Cultivation
  • Competence

Certain cultures are more conducive to data science than others, and in...

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Identifying Your Culture

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

A pattern of shared basic assumptions that the group...

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Avoiding Common Pitfalls in Data Storytelling

One way to approach storytelling is to do everything right. In several previous posts, including Data Storytelling and Structuring Your Data Story, I offer guidance on how to tell a data story the right way. Another approach is to avoid the most...

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The Power of Metaphors in Data Storytelling

A metaphor is a figure of speech used to describe an object or action in comparison to something that is dissimilar but has something in common. Here are a few examples:

  • Living on the razor's edge
  • Swimming with the sharks
  • Climbing the...
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Getting Personal with Data Storytelling

In Paul Smith's book Lead with a Story, he describes how the CEO of Procter & Gamble would come to presentations and sit with his back to the screen. Smith describes how he delivered a presentation to the CEO, who didn't once turn around to...

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Making Your Data Story Pop!

In several previous posts, including Data Storytelling, I cover the essential elements of a data science story, but storytelling goes beyond the story itself. It's the telling of the story that separates a gripping story from one that is merely an...

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The Data Story’s in the Details

In a previous post, Structuring Your Data Story, I provide guidance on the big picture of storytelling — nailing down the five key elements of a story: characters, setting, plot, conflict, and resolution. However, if you've ever heard...

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Sizing Up the Audience for Your Data Story

When your data science team is composing a story, it needs to understand the audience in order to connect with it on a personal and emotional level. I witnessed this myself when working for a large political campaign and observed two candidates...

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