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Data Storytelling in Power BI | key elements of Storytelling | Presenting Visuals using Dashboards

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▶ Self Evaluate yourself to check if you can become a successful Business Analyst.
▶ What is Data Storytelling?
The idea behind data storytelling is to create an engaging tale using intricate data and analytics to influence and inform a specific audience.
▶ The benefits of data storytelling
While human narrative is quite similar to data storytelling, the latter has the advantages of deeper insights and supporting data via graphs and charts. Through data storytelling, complex information is made understandable so that your audience will be more engaged and able to make important decisions more quickly and with greater assurance.
💡Adding value to your data and insights.
💡Interpreting complex information and highlighting essential key points for the audience.
💡Providing a human touch to your data.
💡Offering value to your audience and industry.
💡Building credibility as an industry and topic thought leader.
▶ Using data visualization to enhance your data storytelling
How open your audience is to hear difficult information depends in large part on the data visualization you use. Data visualization aids in the simplification and digestion of vast volumes of data. Here, you can add the images required to bolster your narrative. Successful data visualizations can aid in:
💡Reveal patterns, trends, and findings from an unbiased viewpoint.
💡Provide context, interpret results, and articulate insights.
💡Streamline data so your audience can process information.
💡Improve audience engagement.
▶ The three key elements of data storytelling
Together, data storytelling and data visualization use a disciplined methodology to convey your findings through three key components: narrative, graphics, and data. To produce a well-rounded example of your theory and the actions you want people to do as a result, it's crucial to mix the three components below as you write your data story.
1. Build your narrative
2. Build your narrative
3. Show data to support
📁 Data Analyst Resume:
================
Data Analyst Resume with No Work Experience | Step by Step Guide | Templates + Tips + Examples
🛑Data Analyst Journey:
=====================
How I would Study Data Analytics in 2023 (If I had to start over) | Schedule | Salaries | Skill Set?
Timetable And Efficient Strategy to Learn Data Analytics while Working | Improve Productivity
💡 LEARN MORE
========================
💡 LET'S TALK
========================
☮Any specific query? Want to get an Interview ready? Ask me anything!
#datastorytelling #storytelling
▶ What is Data Storytelling?
The idea behind data storytelling is to create an engaging tale using intricate data and analytics to influence and inform a specific audience.
▶ The benefits of data storytelling
While human narrative is quite similar to data storytelling, the latter has the advantages of deeper insights and supporting data via graphs and charts. Through data storytelling, complex information is made understandable so that your audience will be more engaged and able to make important decisions more quickly and with greater assurance.
💡Adding value to your data and insights.
💡Interpreting complex information and highlighting essential key points for the audience.
💡Providing a human touch to your data.
💡Offering value to your audience and industry.
💡Building credibility as an industry and topic thought leader.
▶ Using data visualization to enhance your data storytelling
How open your audience is to hear difficult information depends in large part on the data visualization you use. Data visualization aids in the simplification and digestion of vast volumes of data. Here, you can add the images required to bolster your narrative. Successful data visualizations can aid in:
💡Reveal patterns, trends, and findings from an unbiased viewpoint.
💡Provide context, interpret results, and articulate insights.
💡Streamline data so your audience can process information.
💡Improve audience engagement.
▶ The three key elements of data storytelling
Together, data storytelling and data visualization use a disciplined methodology to convey your findings through three key components: narrative, graphics, and data. To produce a well-rounded example of your theory and the actions you want people to do as a result, it's crucial to mix the three components below as you write your data story.
1. Build your narrative
2. Build your narrative
3. Show data to support
📁 Data Analyst Resume:
================
Data Analyst Resume with No Work Experience | Step by Step Guide | Templates + Tips + Examples
🛑Data Analyst Journey:
=====================
How I would Study Data Analytics in 2023 (If I had to start over) | Schedule | Salaries | Skill Set?
Timetable And Efficient Strategy to Learn Data Analytics while Working | Improve Productivity
💡 LEARN MORE
========================
💡 LET'S TALK
========================
☮Any specific query? Want to get an Interview ready? Ask me anything!
#datastorytelling #storytelling
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