Storytelling with Data.
Jan 31, 2021
Storytelling with Data.
If you do any communication using data, there are good chances that you might need to tell a story about it i.e. Storytelling with data.
Data is everywhere and metrics help us measure our progress and spot opportunities to improve. But how do we know what to measure when? How do we make sure the metrics are meaningful? And how do we share the stories they tell about our organization’s performance with everyone in an impactful way?
You may need to tell a story with data, but you don't know where to start. Using data is an easy way to get a clear message across. Storytelling through data is a great way of adding color and depth to your findings. It can also make your presentation more memorable; people are unlikely to forget the story you told them about the data.
We’ve all been there. A client wants a report, and for some reason, numbers are just not good enough. Can you turn that data into a story? This is why storytelling with data is such an important skill for data visualization to be able to do.
We need to find better ways to communicate information that is quantitative in nature. We need to make it easy for people to understand how the data shows what we say it does and support that idea with facts.
Maybe you're an analyst at a company trying to communicate your findings to upper management. Or perhaps you work at a startup and are trying to get investors on board with your valuation. Whatever the case may be, when it comes to telling a story with data, there is one basic rule: tell a good story. Sounds easy, but there's actually more to it than that.
Humans need stories in order to make sense of their world. Data overkill doesn’t cut it, but neither does an Excel spreadsheet with a graph on it. Everyone wants to engage more effectively with the audience they care about, whether that’s customers, potential customers, or even internal stakeholders. Good storytelling with data is a powerful tool for anyone who needs to communicate something — and it should be telling a story non-data people can understand.
You have all the data you need to communicate your point, but communicating it well is a different story. Data visualizations can make the difference between people believing what you’re saying and leaving. They can help create a connection to your audience that previously did not exist.
The ultimate goal of building any chart or graph should be to tell a story and to visualize data in such a way that it leads to a greater understanding of a situation and potential insights that could affect the decisions. Or even just making some observations about your data in a different light.
I’ve got good news for you: It is possible to tell a beautiful story with your data everyone can understand! with AI Remedies you can generate customized reports, dashboards, create good data visualization, and better storytelling...
Generating meaningful, actionable insights from your datasets is a difficult task. The volume of information is increasing daily, and it's becoming significantly more challenging to monitor your business performance and make informed decisions. If you’re looking for good news, we have good news for you: it is possible! With AI Remedies you can generate customized reports, dashboards, create good data visualization, and better storytelling!
Thanks to technology, we are now able to create business intelligence solutions that were impossible before. Artificial Intelligence is set to revolutionize the way we think about data.
Storytelling can be a very powerful tool to pass information. When you're working with data, the best way to tell a story is by using visuals. Therefore, it's crucial to know how to use them effectively. AI Surge's infographic segment is a good example of data storytelling.
Data storytelling is just about the most empowering thing you can do to change how your team thinks about and acts on data. Through stories, data becomes real.
Data has become an obsession in business. Businesses are forever asking for more data. Why? It’s not because they care about the data. Unfortunately, it’s because too many people lack the skills and confidence to decipher data and act on it in a way that helps their teams drive value. This is a massive problem. Data storytelling is a solution because data is useless if just one person knows how to decode it.