To help you be successful with visual analytics, we’ve compiled the following key best practices to be aware of.
Before you begin, be sure to define specific goals for your visual data analysis work. What specific questions are you trying to answer?
Integrate and manage the data
Your source data needs to be transformed into clean, business-ready information. You’ll need to combine and replicate data from a variety of sources and then bring it into standardized formats stored in a repository such as a data lake or data warehouse.
Choose the right visual technique to present your story in the simplest way possible. Learn more about visualizing data.
See the ten most compelling and interesting data visualization examples from recent years.