Understanding the Benefits of Data Visualization & Embracing the Ever-Changing Trends

Data Visualization Trends

Over the past five years, I’ve seen firsthand how quickly data visualization changes –whether looking at the enhanced functionality within the tool or industry best practices, data trends are evolving year by year.

I’d like to take a look at some trends that should be considered when constructing a data visualization, comprehensive dashboard or report:

Real-Time Dashboards

A great part of data visualization that has changed recently has been the ease of use when connecting a dashboard or report to real-time data sources. There have been many times during my career where I’ve created a dashboard with the intent to show real-time status for an initiative or progress during a project. Connecting your dashboard to a data source that is updated at a consistent cadence, whether it is every second or every day, allows the audience to get a clear understanding of the current state of things.

I was on a project recently where hundreds of Business Unit Coordinators were executing a series of tasks for a soft launch in a tight window of time. Our team created a dashboard and process in order to track status so we could manage any potential hiccups during the launch. The dashboard provided leadership with a high-level view of progress with also the ability to drill down and escalate roadblocks accordingly, when needed.

Many Different Visualization Charts

Data chart and graph types are constantly progressing. The tried-and-true bar charts, line charts, and histograms still have a fundamental place in dashboarding. They also may leave some intrigue to be desired if standing alone. This is where the advancement in analytics and visualization has truly come a long way. There are countless chart types to leverage to illustrate a point; a few of my favorites are listed below:

• Geospatial – Graphical charts showcasing the relationship between data and location
• Data Point – Focuses on solely one data point to emphasize a particular statistic
• Stacked Bar – Allows numeric data to be viewed across multiple subsets of different categories
• Heatmap – Also known as “Density Maps”, these show numeric data in a color array of squares or rectangles
• Stacked Area – Similar to stacked bar, these charts display a proportion of multiple categories but over time
• Scatterplot – Showcases values for two separate variables, which can highlight trends

The point here is to illustrate how abundant the options are when creating a visualization or piecing together a dashboard. The tools (chart types) and clay (raw data) are both at the disposal of the artist (data visualizer) and it’s now up to them to create something worthwhile.

Data Storytelling

Data storytelling is the practice of illustrating a point or narrative in a way that is easy to comprehend or understand. This is the point where art meets science. Creating an effective visualization should always be aimed at making a point or uncovering a truth. Anyone can throw together a handful of charts and graphs onto a dashboard, but if the final product is not intuitive and cohesive, it can leave the viewer confused and scatterbrained.

Effective data visualists start creating a visualization by first asking what they are hoping their audience to gain from looking at the future final product. Sometimes this can be broad, such as uncovering a pattern or truth and sometimes this will be specific, where the hope is to drive home a point. When attempting to make a point with data, it is important to constantly think through what you can do to tailor your dashboard to highlight the point that you are trying to make. Attempting to tell a story with your data throughout the creation of a dashboard will ensure that the final product effectively informs and maybe even captivates your audience.

By Ryan Braley