Sprout Social's Carly discussing ways to use social data beyond social.
Posted: Tue Jan 21, 2025 8:46 am
This flexible format can be repeated as needed france b2b leads and applied to just about any medium, from presentations to reports and emails.
You may have lots of data to comb through to find the right points to cover. That’s why the first step is picking out the most interesting ones. It’s up to you to gather the data that best illustrates your main idea/plot point and use it to focus your audience on your key message.
Check out our video that talks about how to turn social data into business intelligence, including tips for sharing as part of your data storytelling.
7. What to avoid when creating your data story
Social data in action is a beautiful thing, but there are a few things to avoid when developing your data story:
Not considering your audience. Consider what information is the most relevant to your audience.
Highlighting too many metrics.
Not using qualitative data to provide more context.
Using data visualizations that are too distracting.
Omitting data visualizations altogether. Many people are visual learners.
Using text formatting only. Avoid using text formatting (think: color, highlighting and font weight) to emphasize key points.
Providing negative or lackluster results without context. Not every story has a happy ending, and that’s okay. Focus on solutions instead.
Challenges in data storytelling
To effectively tell your data story, you need the right tools and support in place. This is a common challenge for organizations: 42% of business leaders say limited access to social media data tools and a lack of integration with other technology solutions are the top challenges preventing them from more effectively using social media data and insights to inform business decision-making. Additional challenges leaders cite include lack of training/expertise among team members about data analysis, lack of time and limited access to social data.
You may have lots of data to comb through to find the right points to cover. That’s why the first step is picking out the most interesting ones. It’s up to you to gather the data that best illustrates your main idea/plot point and use it to focus your audience on your key message.
Check out our video that talks about how to turn social data into business intelligence, including tips for sharing as part of your data storytelling.
7. What to avoid when creating your data story
Social data in action is a beautiful thing, but there are a few things to avoid when developing your data story:
Not considering your audience. Consider what information is the most relevant to your audience.
Highlighting too many metrics.
Not using qualitative data to provide more context.
Using data visualizations that are too distracting.
Omitting data visualizations altogether. Many people are visual learners.
Using text formatting only. Avoid using text formatting (think: color, highlighting and font weight) to emphasize key points.
Providing negative or lackluster results without context. Not every story has a happy ending, and that’s okay. Focus on solutions instead.
Challenges in data storytelling
To effectively tell your data story, you need the right tools and support in place. This is a common challenge for organizations: 42% of business leaders say limited access to social media data tools and a lack of integration with other technology solutions are the top challenges preventing them from more effectively using social media data and insights to inform business decision-making. Additional challenges leaders cite include lack of training/expertise among team members about data analysis, lack of time and limited access to social data.