Data visualization

The process of presenting data in visual form to make patterns, trends, and insights easier to identify and communicate.

Meaning in detail Contact us now

What is data vizualisation?

Data visualization is a powerful tool that can be used to communicate and understand information more effectively. Due to the continuous development of the area and the use of new technologies, data visualization is becoming increasingly important in order to analyze complex data and make decisions. It is an important part of a Reporting and business intelligence solution. The Data organization and the data culture benefit from a comprehensible and transparent solution.

Why is data visualization important?

Effective communication: Data visualization makes it possible to communicate complex information quickly and easily. Images and graphics are captured and processed faster than text, making it easier to share and understand the key messages of the data.
Gaining knowledge: The visual presentation of data makes it easier to identify patterns, trends, and relationships that could remain hidden in plain text data. Data visualization can thus lead to new insights and valuable insights.
Decision-making: Data visualization can improve decision making by presenting relevant information to decision makers in an easy-to-understand format. In this way, well-founded decisions can be made based on data and facts.
Encourage engagement: Data visualization can drive stakeholder engagement by presenting data in an engaging and interesting way. This can lead to more involvement in data-driven initiatives and better use of data within the company.

What are types of data visualization?

There are different types of data visualizations, each suitable for different types of data and use cases. The most common types include:

Charts: Bar charts, bar charts, pie charts, line charts, scatter charts, etc.
Maps: Choropleth maps, point maps, heat maps, etc.
Graphics: infographics, flow charts, timelines, etc.
Dashboards: Interactive control elements that combine various data visualizations in one interface.

What tools are there for data visualization?

There are a variety of tools for data visualization, from simple spreadsheet programs such as Microsoft Excel to complex data analytics platforms such as Tableau and Qlik Sense. Choosing the right tool depends on the specific requirements of the project and the user's skills.

What are the principles of data visualization?

There are a few important principles to follow when creating effective data visualizations:

Clarity and simplicity: The visualization should be clear, simple, and easy to understand. Avoid too many elements or complex designs that could overwhelm the viewer.
Accuracy: The data and visualization must be accurate and consistent. False or misleading representations may lead to false conclusions.
Using visual elements effectively: Colors, shapes, sizes, and other visual elements should be used effectively to highlight data, illustrate patterns, and draw the viewer's attention.
Target group-oriented design: The visualization should be adapted to the target group. Consider the knowledge, experience, and expectations of those who will see the visualization.

Data visualization is a powerful tool that enables companies and individuals to understand, communicate, and use data more effectively. By applying the right principles and techniques, data visualizations can lead to valuable insights, informed decisions, and a better understanding of complex information.

What data visualization solutions are there?

In addition to the data analytics platforms already mentioned, which also offer data visualization functions, there are a variety of special data visualization solutions on the market. These solutions often offer a wider range of features and options for creating complex and interactive visualizations. For example:

Power BI: Integrates with Microsoft products such as Excel and PowerPoint and offers a wide range of features for creating reports and visualizations. https://www.microsoft.com/en-us/power-platform/products/power-bi
Google Data Studio: A solution from Google that enables easy and fast data visualizations. https://analytics.googleblog.com/2016/05/announcing-data-studio-our-free-new.html
Tableau: Offers an intuitive user interface, a variety of templates, and a wide range of features for creating interactive visualizations. www.tableau.com
Qlik Sense: Enables you to create interactive dashboards and visualizations with drag-and-drop capabilities. www.qlik.com
Seaborn: A Python library for creating statistical graphics and visualizations. jovian.com
ggplot2: An R library for creating statistical graphics and visualizations. https://ggplot2.tidyverse.org

Choosing the right data visualization solution depends on the specific requirements of the project, the user's capabilities, and the budget. Let's find a suitable one together Reporting and business intelligence solution search.

Additional factors for data visualization?

Supported data types: Can the solution process the types of data you're working with?
Range of functions: What data visualization features does the solution offer?
Interactivity: Does the solution allow you to create interactive visualizations?
Integration options: Can the solution be integrated with other tools and systems?
Ease of use: How easy is the solution to learn and use?
Pricing: Does the solution offer a free model or a subscription model?