A picture is worth a thousand words they say, and this remains true for data discovery and analytics. For centuries, graphs and maps have been used to help us simplify, understand and convey large amounts of data in a universal manner. And with the evolution of technology, we can now visualize increasingly complex information at lightning-fast speeds.
Data visualization describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized more easily with imagery. These valuable insights extracted from the data can help companies improve their operations and identify new opportunities.
Organizations that have been the most successful with their big data initiatives usually leverage data visualization. What are the key benefits for incorporating data visualization during data discovery?
The explosion of data is causing a great deal of confusion among many organizations. Most have been very good at collecting and storing information, but have not done a very good job of making sense of that data and then being able to perform analytics on top of it. That’s where data visualization can play a critical role.
To learn more about the next-generation graph database and visualization tool, the Anzo Graph Query Engine, the key element of scale in the Anzo Smart Data Lake™, watch our recorded webinar Enterprise Analytics at Scale Using Graph Database.