How to achieve good data visualization

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Proper data visualization must be interactive and real-time to make smart decisions and reach all users.

Correct data visualization is synonymous with smart decisions
Through data visualization , companies are able to drive smart and profitable decisions, made from any area of ​​the business. We know that data is an increasingly important asset for any type of organization , regardless of sector, size and objectives.

However, the information collected does not always achieve the desired success: if there is no adequate data visualization , the knowledge is less visible and its communication to users and decision makers becomes more complex.

Today, data visualization has evolved dramatically, and business people have more techniques at their disposal than ever before—from arc diagrams and bullet charts to violin diagrams and waterfall charts.

The pace at which digital transformation is italy phone number lead advancing in companies has also invaded those practices closely related to the use of Big Data and Analytics, such as visualization.

In this context, data analysis has become essential, but so have the actions that companies carry out based on it.

In this sense, when a correct visualization is selected that highlights the most relevant aspects of the information, new perspectives can emerge and be communicated with greater persuasion and clarity.

The result is smarter actions and better business outcomes. To achieve this, modern companies must have an up-to-date view of data and apply cutting-edge technology to enhance information visualizations.

Solutions that use analytics and AI can help free data, find it, understand it, trust it, and govern it to make real-time decisions.



8 practices for successful data visualization
We invite you to learn about some of the latest visualizations, including where and when to use them to have the greatest impact on your business:

FORM FOLLOWS FUNCTION
This practice links to higher-level visualizations to obtain data narratives that prioritize functionality. In contrast, before selecting a visualization type, the user must determine what relationships they want to show in their data.

You will then need to resort to the vocabulary of the Financial Times, which categorizes visualizations taking into account 9 functions: Change over time, Distribution, Relationship of a part to the whole, Correlation, Flow, Classification, Deviation, Magnitude, Spatial.

VISUALIZATION SELECTION TOOL
It is also possible to choose visualizations in a more sophisticated way, such as filtering visualizations through feature categories.

For example, if you normally use a line chart that displays change over time, you can also use a heat map calendar or stacked area chart.

BEYOND THE BARS
If a bar chart is normally used, the classification may be done using several elements. For this purpose, a bar chart can also be implemented.