The Importance Of Data Visualization

We are living in an era of big data and it’s difficult for us to understand large amounts of data in rows and columns.

But when we try to understand big data using visualizations, it’s much easier to process.

Data visualizations are graphical representations of data and play a vital role in understanding information.

Types of Data Visualization Include:


1. Bar Graphs

2. Pie Charts

3. Scatter Plots

Benefits of Data Visualization:

Timely and well-organized visual information helps decision-makers take action quickly.

Results displayed in various graphs and pictures are impactful and well communicated.

Good visualizations also save a lot of time and make reports easier to understand. After all, time is money!

Data Visualization Best Practices:

Data visualizations must be clutter-free. They should be presentable and understandable.

Make sure to choose the correct visualization models for your data and color code for clarity.

When not used correctly
charts can be misleading. This might not be intentional, but the marketing analytics team needs to be careful while studying the graphs and be aware of misleading ones.

Avoid dead graphs that don't show variation and hold no value.

Data Visualization Tools:

Tableau is the most common and popular tool used for data visualization. It is a user-friendly tool and easy to learn and implement.

Google Charts has very flexible options for creating engaging visuals and interactive animations

Infogram’s best features are that you can link real-time data to graphs, which means that the data is always up-to-date.

Visualizations can help the marketing teams advertise the right products to the right regions and they can help the sales team gather data on past customers. Visit smartboost.com for more

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