Why an Analytics Platform with Built-In Color Palettes is so Important

Let’s explore in-depth why you need a platform with built-in color palettes.

It is crucial for your business to understand the data you make with an analytics platform. A data analytics platform with built-in color palettes allows you to understand graphs and charts more easily than possible with simple greyscale functionality.

There are many reasons why having an analytics platform with built-in color palettes will help your business, so it should be a top priority when evaluating which analytics platform best suits your needs! To continue our guide for choosing an analytics platform that allows the most customization, let’s explore in-depth why you need a platform with built-in color palettes.

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What is an Analytics platform & Why Does it Need Color Palettes?

 

An analytics platform is a type of software that allows businesses to upload their business data to create graphs and charts of the data. They have high adoption rates of over 85%, create data insights within a few seconds, and can lead to a 40% savings on your bi tools. However, making sense of data and fully utilizing the platform is much more difficult without the use of color.

On this page, we will give an adequate answer as to why color palettes are essential for understanding information in graphs. Simply put, colors help you interpret your data more efficiently than usually possible with simple greyscale functionality.

 

7 Reasons Why You Should Choose a Platform With Built-In Color Palettes

 

Life is much better with color. There are countless reasons that color helps us to understand information better than possible with simple greyscale functionality. Let’s go ahead and look at seven reasons you need to have an analytics platform with color palettes.

 

1. Colors Help You Interpret & Understand Data More Easily

 

When using greyscale, you will need to spend more time interpreting your data and understanding what the information you are looking at means. With color palettes, you will much more quickly pick out what particular parts of the chart mean. Most importantly, you will not have to look for dashes, dots, and so on to help you see what is going on in the chart.

 

2. Make Vital Elements Stand Out More

 

Imagine that you have a particular point in your graph that you want to stand out more than other data points. Without color, you will have a hard time making it stand out. With color, you can create your own custom colors to help make each vital element in the graph really pop out!

 

3. Colors Make It Easier to Identify Patterns and Trends

 

If you are using a data analytics platform, picking up on trends and using them to guide your decision-making will be one of the most primary benefits that you get from the platform. With colors, you will be able to quickly identify trends and patterns without guessing what the chart means.

 

4. Color Palettes Can Make it Easier to Communicate Different Types of Information

 

There are many different types of information that you can communicate with color palettes. You can use them to convey how a particular project is progressing, and the trend of this project over time. In addition, color palettes can be handy when illustrating the progress of a company’s product development process.

Furthermore, you can see if one type of customer leads to more sales than another type of customer when examining the data for your company’s product and then develop the product based on that data. Color palettes can also be helpful when showing the difference between multiple companies’ products. To help your team identify which product is doing better, and why that might be the case, use color!

You can also use color to help simplify charts that would otherwise be too complex in greyscale. If you have a lot of data points on your graph and need some way of representing them all so they don’t get muddled together, colors are usually the best way for making a clear distinction between different groups or types. As we can see, color is invaluable!

 

5. Colors can Help Many People with Disabilities Read Data Better

 

Many people with disabilities simply need to have color to understand what is being communicated in a graph. Color blindness is one example of this, and you can use color palettes to help with that condition.

If someone is visually impaired, using an analytics platform with built-in color palettes will allow them to understand the information on your graphs without trying to guess what everything means based only on shapes and line thicknesses.

 

6. Colors can Help You Visually Differentiate Between Data Points

 

If you want to have the viewers of your charts easily differentiate between data points, especially if the data points are minuscule, then it would be best to use color palettes. If all of your graphs look very similar except for certain key elements that you want viewers to focus on more than others, colors will make those differentiating elements stand out much better.

 

7. Different Colors Can Represent Different Types of Data in the Same Graph

 

Every now and then, there are different types of data that you will want to examine on the same graph. For example, let’s assume that you are considering where to open up a retail store. You want to know how many people per day visit your stores within 10 miles, what your average number of customers per hour at your local location is, and how much money you spend every day on advertising.

With an analytics platform with built-in color palettes, it would be easy for you to plot one graph with all three types of information using color so that you can compare these data points side-by-side.

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Some Final Tips For Using Colors Effectively with an Analytics Platform

 

When working with an analytics platform with built-in color palettes, try to stick with color palettes that are simple and easy to understand. Don’t go overboard with color. Try only to use colors that contrast nicely with each other.

Finally, always keep in mind the types of information you want viewers to focus on when using color. If you are trying to show progress over time, for example, then use many different colors because it will be challenging for your viewer’s eyes not to wander across all the data points. An example of this might be using different colors to illustrate a data point during a particular quarter, season, or month.

Most importantly, those who want a data analytics platform that will be the most useful, help them generate a 6% revenue within three months, save an extra 20 days for the executive, and much more, should get a high-quality analytics platform that makes full use of built-in color palettes.

 

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