Weekly Challenge 4 Answers
2. When implemented, which of the following strategies would provide information about customer behaviors that could lead to an effective launch of a new product?Answers
3. As an entry-level digital marketer, which of the following data analytics tasks might you be responsible for? Select all that apply.Answers
4. What refers to the average revenue generated per customer over a certain period of time?Answers
5. Fill in the blank: The process of determining which content and channels are responsible for generating leads, conversions, or sign-ups is called _____.Answers
6. Fill in the blank: _____ measures customer engagement with marketing content across channels to understand what is motivating customers to take action.Answers
7. Fill in the blank: A digital marketer uses _____ to convey insights to a specific audience using a clear and compelling narrative.Answers
8. Which of the following are the main components of a data story? Select three.Answers
9. Imagine a digital marketer is preparing a data story to share with stakeholders. The story has three components: what its insights mean, why they matter to the audience, and what the audience can do about them.Answers
10. In data storytelling, how do visualizations help an audience understand what is happening in the narrative?Answers
What are the three main components of a data story?The three key elements of data storytelling. Build your narrative. As you tell your story, you need to use your data as supporting pillars to your insights. ... . Use visuals to enlighten. Visuals can help educate the audience on your theory. ... . Show data to support.. What are the essential components of a data story?There are four elements to every good data story that data analysts or business leaders need to include to inspire action on the part of their teams. These elements of data storytelling are also the four components of any meaningful narrative arc: character, setting, conflict, and resolution.
What makes a data story?Data storytelling is the skill to craft the narrative by leveraging data, which is then contextualized, and finally presented to an audience. It utilizes not only data analysis and statistics, but also data visualization, qualitative and contextual analysis, and presentation.
What is the most important element in data storytelling?The plot is arguably the most important aspect of any story about data: know what questions you want to answer and how you'll answer them. If you aren't sure, it'll be harder to communicate your findings in a way that's relevant.
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