Alerts: in case of any important change in the structure of information the user gets to know about it asap.

(Note: Read more about database architecture design). Data visualization software needs access to that information.

Database connection: the information for the visualization is stored on your own or a third-party server.

Interactive option: the opportunities for the users to make their own choice on what part of data to see and how.

Visual data representation: graphs, charts, tables, and other types.

So, it is not surprising that the question of how to create a data visualization software is very relevant.ĭata visualization software has some basic features that cover the primarily required functionality. Instead of digging into multiple spreadsheets and torturing the brain to catch the hidden interconnections, all the productivity effort can be sourced to the most important part – figuring out what to do next. It shows a complex business situation in easy-to-understand charts of graphs. This kind of software is mostly aimed at helping people responsible for decision making actually make better decisions. And that’s where information visualization software becomes handy. Now is the time to make use of this precious data. The retail industry (both online and offline), sellers of various services, even bookstores and flower shops keep a story of each customer interaction. Apart from the “gut feeling” a huge amount of raw data is now at hand for any business manager or for startups to take advantage of. In the era of Big Data being the new oil, almost any company with sales history requires a new approach to decision making.

Best data visualization tools desktop