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Article

Fundamentals on the Grammar of Data Visualization

Data visualization is the graphical representation of information and data. In the latest episode of Data Chats, our host Chris Richardson had a conversation with Lee Feinberg, president of DecisionViz, a management consulting company specializing
Category: Data Science
Article

Data Maturity Assessment: How Data Mature is Your Organization?

Data maturity refers to the degree to which an organization uses and makes the most of its data. This article introduces our new Data Maturity Assessment and outlines the benefits of being a data-driven company. 
Category: Data Science
Article

7 Best Practices for Creating a Data-Driven Business

The best practices for creating a data-driven business featured in this article is based on a recent conversation on the Data Chats Podcast featuring Jason Foster, founder & CEO of Cynozure.
Category: Data Science
Article

5 Effective Communication Techniques for Data Analysts

It is predicted that the demand for data analysts will grow by 25% between 2020 and 2030. As more information is easily available, businesses understand the importance of data analysts and how beneficial it is
Category: Data Science
Article

Key Takeaways: A Conversation About Data Visualization Best Practices 

Data Visualization: Why you should think beyond excel for creating graphs and charts, the problem with pie charts, and so much more.
Category: Data Science
Article

32 Business Questions for Data Analysis

Imagine visiting a new restaurant. You’re browsing the menu and you’re deciding between dinner options: chicken or fish. You can see the chicken is $13 and the fish is $17. You also notice the restaurant
Category: Data Science

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Map Your Message to Its Audience with the Communication Compass
Map Your Message to Its Audience with the Communication Compass
Ensure your message hits the mark. This eBook helps you visually map communication styles so you can tailor your design story to a stakeholder or business partner.

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Demystifying Data Projects: A Guide for Business Leaders
While data science is a competitive advantage, data isn’t magic. Learn how to make magic happen by partnering more effectively with data professionals. This eBook delves into types of data projects, sample questions, tools and methods, key points and cautions—so stakeholders like you can initiate data projects with real business impact.

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What’s the difference between a successful data analysis project and one that falls flat? 

Before you begin working with the data, you need to understand what you’re solving for. Gathering context and aligning around goals with your stakeholders from the outset will help you avoid disconnects and deliver actionable insights. Discover the most vital questions to ask before embarking on a data analysis project in our in-depth guide, “Define: Laying the Foundation for Successful Data Analysis.”

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