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12 Rules for Data Storytelling

Juice Analytics

Or maybe you don’t have the time to attend a world-class data storytelling workshop ? The choices you make — the metrics and visualization you choose, the sequence of content, even how you label the data — these are all an expression of your priorities and insights into the data. No problem. Part 1: Think Like a Storyteller.

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9 Habits of Data Fluent Organizations — and How to Learn Them

Juice Analytics

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Habit 1: Define shared metrics Data fluency requires getting everyone on the same page as to what matters most. For difficult choices, we have shared baseline: How will it impact our North Star Metric?

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11 Data Presentation Tips and Resources to Deliver More Client Value

Juice Analytics

It takes a special combination of skills to articulate your insights and support them with effectively visualized data. Visual Consistency It can be awfully distracting for your audience to feel like your data presentation is a Frankenstein’s Monster of colors, fonts, and styles. Create a data presentation in Juicebox.

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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

Depict Data Studio

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

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Utilize The Effectiveness Of Professional Executive Dashboards & Reports

datapine

By gaining the ability to gather, organize and analyze the metrics that are most important to your organization, you stand to make your business empire more intelligent than ever before – and executive reporting and business dashboards will help you do just that. 90% of the information transmitted to the brain is visual.

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Why you should care about debugging machine learning models

O'Reilly on Data

Partial dependence, accumulated local effect (ALE), and individual conditional expectation (ICE) plots : this involves systematically visualizing the effects of changing one or more variables in your model. There are a ton of packages for these techniques: ALEPlot , DALEX , ICEbox , iml , and pdp in R; and PDPbox and PyCEbox in Python.

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How To Extract Maximum Value Of Your Customer Service Data With Professional Customer Service Reports

datapine

By increasing the service levels, customer satisfaction, and loyalty, among many other metrics, organizations can ultimately generate business value and increase profits. We have written a bit more on the average response time as one of our metrics examples below in our article, but the main point is to keep it as short as possible.

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