Your data analytics project doesn't really achieve a successful completion until you deliver the results to decision makers, whether the recipients are top executives, business unit leaders, or even the public at large. More and more data science teams are delivering those results through data visualization, forsaking spreadsheets and static charts in printed reports. One of the key advantages to using dataviz is the interactivity and the dynamic nature of data visualizations. But you want to do it right, and remember that your data is telling a story. Get it wrong, and your data just confuses everyone. Scott Berinato is a senior editor with the Harvard Business Review and a self-described dataviz geek. He also is author of the book Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations, in which he shares best practices in dataviz. The HBR description notes: "Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create "feelings behind our eyes." Be sure to join All Analytics Radio when Berinato shares his advice on best practices -- and bad practices -- in data visualization on Thursday, October 13, at 2 pm Eastern time.