Obtaining information or data is no longer a slow and tedious process. We are now in the era where loads of data or information is available at our fingertips. At the same time, there is a risk of information overload. Managers need ways to sort, compress, and use this newfound volume of information. There are several methods to transform this data into actionable, memorable, and usable insights. One of these methods is Data Visualization.
What is Data Visualization?
Data Visualization represents data graphically or visually in a compelling manner. The sleek graphics allow managers to grasp information in a faster way. Data visualization shows relationships and patterns. It shows how the information presented relates to the result of a specific target or goal. In turn, it allows managers to make decisions rapidly and to create value.
Data Visualization Categories and Solutions
The five main categories of data visualization are as follows:
- Hierarchical – used to display clusters of information that stem from one single source. Common examples used are ring charts, tree, and sunburst diagrams.
- Temporal – This type of visualization is one dimensional and linear. This category features lines that overlap with each other or that stand alone. Scatter plots, line graphs, and timelines all fall into this category.
- Multi-dimensional – These visualizations tend to show data that have two or more variables. These tend to be the most appealing or eye-catching method. Examples include Venn diagrams, histograms, and stacked bar graphs.
- Network – Showing how one set of data connects or relates to other bits of information. This type uses little or no words to show relationships. Matrix charts, word clouds, and node-link diagrams show the connection between the networks.
- Geospatial – This category shows changes in sales over a specific period. It can show other changes, such as demographics or even acquisitions. Researchers drape familiar maps with different data points. These points represent real-time physical locations. Examples include Flow map, Density map, and heat map
Placing complex data into a visual presentation has many advantages.
- Data Visualization allows managers and teams to understand complex phenomena.
- It assists in pinpointing buying patterns.
- Data Visualization can also help executives in making informed decisions.
- It lets you know where your company stands in the market.
- It allows you to foresee challenges and problems.
- It allows you to develop coherent naratives for effective storytelling
- It assists management and staff in working together.
- It leads to engagement, input, and actions from your team members.
- It highlights information that is not easy to process.
- It streamlines processes.
- It reduces the time used to understand the data presented.
We at SIS have a Strategy Group devoted to presenting your data effectively. We want you to be effective when giving complex data to your target segments. We use the best visualization solutions to encourage engagement. Our methods aid rapid decision making and insight discovery from your target audiences.
Learn more about our Data Visualization solutions at www.sisinternational.com