15 Data Visualization Tips for Competitive Success

 In Data Visualization

How often does lack of correct information lead to delay in important business decisions? Or misjudged a particular scenario because you have missed a key data point? Data visualization Tips help stakeholders make sense of data generated by the analytics engine. 

However, without smart data visualization, business-critical data points would never see the light of day. leaving decision-makers scrambling for the right actionable intelligence. But we don’t need to tell you all this, and you want to know how to make the most of the data visualization tools at your disposal. 

Numerous fantastic resources can assist you in developing an effective data visualization. We also want to assist you in creating beautiful charts right now. Thus, we’ve compiled a list of short data visualization ideas for you to consider while making your next visualization.

Top 15 Data Visualization tips to be followed for best results 

So here’s a list of top 15 data visualization tips that will make data discovery easy, fast and efficient.

1. Think before doing: 

Stop and think about your story before constructing your chart. What exactly are you attempting to say? After knowing this message, the process becomes a lot easier. Also, you can easily communicate your message.

2. Simplicity is key: 

Before diving, decide which data points are relevant and which ones you can do without. As a result, the output visualization will be clutter-free. Also, it is easy to interpret if you discard unrelated data points, making it easier for you to understand your data. Don’t clutter your charts with unnecessary text, colors, drop-shadows, or 3D imagery.

3. Don’t make your data “pretty”:

Data visualization focuses on elements that will allow easy data discovery and interpretation, rather than the ones that will make the presentation look “pretty.” You might prefer an aesthetically pleasing aspect that doesn’t showcase the critical insights and key figures.

4. Go for layers: 

Using layers to represent different data points will allow you to make the data more story-based and communicative. It will also prevent the end-user from becoming overwhelmed. For layering, rely on drill-downs, links, and shortcuts for easy data discovery and navigation.

5. Talk to stakeholders: 

Who is the end-user? The stakeholder(s) are supposed to interpret the data and make business decisions. Sit down with them and learn what they want from the final report. It will allow for goal-based data visualization. It will also help you to end up giving the stakeholders what they wish. Hence, you can improve the business decision-making process.

6. What is the viewing device?

When designing data visualization elements, know on which device the stakeholder will be viewing the data. Is it a mobile, a tablet, or a laptop? A data visualization designed for a laptop might now come out right on a mobile or a tablet, for that matter, and vice versa. Hence, the design should work equally well across all device platforms.

7. Select the right chart: 

All data visualization charts are not the same. Therefore, choose the chart most capable of presenting the kind of data you have. Selecting the wrong data chart will make the information less impactful. Also, it might hide key data points the stakeholder is looking for.

8. Don’t go crazy with the colors: 

Colors are an effective way to highlight the difference between data points and aid in faster data discovery. However, when used with abandon, they can have the opposite effect. Therefore, you can use a specific color to emphasize a particular area of your chart.

Bright colors draw attention immediately. Thus, allowing you to communicate your message more effectively. It is ok to use bright colors to highlight the most important aspects of a report. But using bright colors all over can make the stakeholder lose focus and miss a critical insight.

You should avoid color palettes with a rainbow or mixed color scheme. Although they may be attractive, but they aren’t always effective. Hence, we recommend using a single color for the entire chart or a splash of color.

9. Mention the title: 

Make an excellent title for your chart that encapsulates your message. Charts with great titles are easier to remember and understand. Also, a precise title will help understand the graph’s objective. 

10. Go for proper scaling: 

Make sure your chart is scaled correctly. Each axis’ scale must have the same intervals. It is an easy technique to ensure that your chart looks appealing. If you are using pie charts, mention the percent to value ratio for a better understanding. 

11. Choose appropriate fonts: 

Choose an easy-to-read typeface for your title, axis labels, and legend. If you want them to understand your message right away, then this is the perfect strategy. Don’t use excessively creative fonts. Keep them simpler to convey the real meaning of the content. 

12. Use citations: 

Always cite your sources for transparency. It gives you credibility, fosters trust, and allows your readers to learn more by visiting the source. It adds to the authenticity of the facts and figures used in your chart. 

13. Promote branding: 

Use company colors, fonts, and branding when presenting data internally. It makes your charts look polished and professional. If it makes your chart easier to grasp quickly, label your data explicitly. If a particular chart takes too long to read, place labels next to the necessary lines or bars. Use these labels as per the information furnished by your company.

14. Proper organization of data: 

Sensibly organize your data. Arrange the columns and bars in numerical order to compare them quickly. Gridlines should only be used if they make your data easier to read. 

Play around with the vertical and horizontal gridlines until you’re satisfied with the clarity and conciseness of your chart. Don’t pick and choose which data to visualize. You must provide context and describe the entire narrative, even if you have terrific figures to offer.

15. Go for a quality check:

It’s easy to become lost when attempting to get a visualization right. Ask a colleague or a friend for help. See if they can grasp your message in less than 30 seconds. Copy and paste the text, upload a photo, tag others, and share! It will help you get proper feedback on your chart.

Conclusion

Do you want to discover the full potential of data visualization? Thinklayer offers tailor-made visualization services for organizations of all shapes and sizes. Request a demo here.

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