Collecting information in business has become essential. One last element seems to have been forgotten: the restitution of information. How can you share your analyzes and the results of your work on data?
It is not always easy to make your data analysis clear and understandable for everyone. However, employees are required to do so, regardless of the sector or the size of the company. To avoid flooding your speech with superfluous data, you need to manage it using business intelligence and reporting tools. The challenge of data analysis lies in their interpretation and communication. The goal? Make it accessible and understandable by all. For the proper network infrastructure setup this is important.
Big data visualization data analysis
Data visualization makes it possible to represent data that is difficult to manipulate, to improve its analysis. By eliminating the superfluous, we highlight essential information by adding logical connectors. Also, it serves two main issues for companies:
Decision-making: decision- makers and operational staff can monitor their performance indicators by linking them to external data (geographic, economic and meteorological, etc.)
Communication: successfully conveying complex information through visuals that are simple and easy to remember.
The primary goal is to tell a story through your data analysis, instead of rendering an exhaustive succession of indicators and charts. Without history, data cannot be expressed! To communicate the most complete and accurate message possible, it is important to know how your target interprets the data you communicate to them.
When you present your data analysis, it is not easy to craft an impactful message. Manipulating data can be scary and yet that’s what your audience will be focusing on during your presentation.
After a few weeks, no one remembers the figures presented. On the other hand, everyone remembers the essentials and the impression they felt in a meeting. A story is 22 times better remembered than a statistic, it does not come from us but from Jennifer Asker, psychologist and professor of marketing.
Quite often, data storytelling is associated with polished presentations and pretty graphics. However, we must look beyond this visual dimension. Data storytelling is actually the effective combination of data, visual and storytelling.
Did You Know?
Our brain is made up of three parts. When we have experiences or when we tell a story, the same parts of our brain activate. The neocortex makes the link between reason and emotion. Our decisions are therefore impacted by our emotions.
Brain emotion understand data analysis
The challenge then is to be clear and impactful by playing on emotion! Seth Godin understood it: brands must know how to tell an engaging and authentic story! The emotion will allow you to captivate your audience, to entertain them and to mark them.