When working with visual information, it is much easier to compare two trends. You can even put them on the same image, trying to understand how they differ. It is not difficult to interpret because the differences stand out quickly.
If you were to do that using text, your job would be senegal phone number data to compare all the information from one result to the other. This would certainly take time and could involve increasing the margin of error.
Allows for fast predictions
How to predict the future with charts? Well, this is as simple as it gets. The team just needs to observe these trends and patterns, which are instantly visible when viewed on charts.
You can then draw conclusions based on what you saw by imagining that specific behavior repeating itself. You don’t even have to process data and numbers, you just have to analyze the way the graph changes to predict what’s coming next.
Let’s look at a real-life example to clear things up. Suppose your team discovers that a line graph changes every March. They don’t even have to social media determines the subtitle of your bestseller crunch numbers and do any calculations.
After considering the trend, it is natural to expect this year’s chart to show the same behavior.
More impact
It is much easier to remember images with lots of patterns than raw data. Graphics are a simple form of expression that stays in our memory, after all, they don’t require much of our mental effort.
In this way, they generate more impact on the reader, which makes data visualization a very effective way of transmitting information.
Help in decision making
Think about all the benefits we’ve discussed so far and put them into a business context, such as a strategy meeting or the planning phase of a new project.
All these aspects (such as the ability to predict trends, the ease of easy comparisons and the stimulation of emotional responses) are what help any professional to make the best decisions .
It is possible to use data visualization to analyze KPIs or perform Content Marketing evaluations , for example.
It is possible to show quick and objective images of performance and productivity, offering a better understanding of what needs to be strengthened or improved.
We’ll discuss this in more detail later, but monitoring changes over time through data visualization provides a better sense of evolution. In a market that requires adaptability, having that insight is critical.
Embrace emerging trends
This last benefit is closely related to the first. If the market increasingly shows that companies need to adapt quickly, identifying trends and niches before others is a great advantage.
This is because companies are moving away from trying to reach a broad audience to focus on groups that are more likely to engage with them europe email The customer expects such proximity.
Consumers want their favorite brands to track their rapidly changing habits and interests. Data visualization processes offer this advantage.
A more comprehensive look at benchmarks, surveys, and NPS will show when a new trend is emerging and what direction it is leading the market. A company can be considered innovative and disruptive if it acts quickly.
How does data visualization work?
Nowadays, people use charts in a dashboard, which allows users to manipulate and manage graphical representations. Through it, you can add just one source and the application converts the raw data into intuitive visuals.
It is possible to create charts using Microsoft Excel , but sometimes users prefer more elaborate software, such as Business Intelligence (BI)-based platforms.
This concept brought a new philosophy: data analysis should be democratic, self-service and available to everyone. In doing so, BI broke down the barriers between data scientists and regular users.
Now, with just a drag-and-drop tool, any user can obtain the graphics needed to analyze a company’s results.
Instead of looking at tables with numbers, marketers can simply log in and create a collection of charts in seconds.
What methods are useful for data visualization?
Since William Playfair introduced us to the line graph and the bar graph, many visual representations have been used to express concepts and study variables.
Let’s do an overview, then!
First, we need to look at the general groups. There are at least four of them:
- temporal: refers to time and the investigation of changes over a specific period;
- hierarchical: represents a relationship between different data points;
- network: these are relationships that are indicated by lines connecting points;
- geospatial: is a category that describes geographic areas and attempts to convey a sense of space.
Within these categories, there are many examples of how to reproduce something visually. The line