Best Practices for Creating Compelling Visualizations

Best Practices for Creating Compelling Visualizations

What Makes Visualizations Impactful?

We’re all bombarded with information and content, and it’s often overwhelming. So how do you quickly separate the important data from the noise? And how do you shape it into a compelling data story for your customers, executives, or partners?

Choosing the right visualization—chart or graph—for the story you want to tell is imperative.

In this paper, we present the top 10 best practices to help you create impactful visualizations, including:

  • Understand the User First
  • Choose the Right Chart Type
  • Make Proper Use of Color and Text
  • Avoid Chart Junk
  • Be Clear with Your Data
  • Highlight What’s Important
  • Use Effective Interactions
  • Use 3D Wisely
  • Pay Attention to the Details
  • Use the Right Scale

We also show how newer, modern analytics platforms help you combine visualizations into powerful dashboards—dashboards that are intuitive, combine data from multiple sources, and let users quickly drill down to the specific information they want.

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About the Author

Casey Ciniello

Casey Ciniello

Casey Ciniello is a data and analytics-focused product leader at Infragistics, where she drives strategy and innovation for the Reveal embedded analytics platform and the Slingshot work management solution. With a BA in mathematics and an MBA, she brings an in-depth analytical foundation and business perspective to building products that help organizations turn complex data into actionable insights.
Casey leads the development of analytics-driven capabilities, shaping product direction through deep market analysis, user behavior insights, and evolving business intelligence trends. She works closely with customers to understand how data is used in real-world decision-making and translates those needs into intuitive, high-impact analytics experiences. Casey also serves as the Survey Lead for the annual Reveal Software Development Challenges survey, where she analyzes industry data to uncover key trends in analytics, AI, and modern development practices. Her insights and thought leadership have been featured in Dataversity, RT Insights, SaaSXtra, SD Times, Solutions Review, TechStrong IT, App Developer Magazine, Beta News, Integration Developer News, and UX Planet. She is a frequent webinar presenter on modern embedded analytics, machine learning, data visualizations, and scaling SaaS analytics. Casey joined Infragistics in 2013.