The terms data analysis and data visualization have become synonymous in everyday language in the wider data community, but the two are quite different. Data analysis is an exploratory process ...

What Is The Difference Between Data Visualization And Business Intelligence? For a quick recap, Data Visualization helps to make information easy to understand and learn by presenting it visually.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Data visualization tools support real-time data, AI integration, collaboration, and interactive exploration to visually represent data.

Data visualization is the presentation of data in a graphical format to make it easier for decision makers to see and understand trends, outliers, and patterns in data.

The five key commandments of data visualization discussed here can help one create a good visual of data and insights to support data-driven decision-making.

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick.

Identify which data modeling tools are right for your business. Discover the top data modeling tools of 2022 now.

We talked with Lima to find out his thoughts on the connection between data visualization and architecture. The following conversation explores his inspirations and process, as well as his views ...

Augmented reality and virtual reality could fundamentally change the way we interact with and interpret data.