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Wallis JC (2005) Databases and data visualization the state of the art. This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors. This chapter will illustrate and discuss the latest trends in data visualization as well as its applications in different industries. Hence, many industries have started to utilize data visualization to achieve the insights they strive for. Moreover, interactive data visualization provides more capabilities than static graphs by allowing managers who are seeking more details to drill down into charts and graphs to gain better understanding of the data. Data visualization enables decision makers to examine large amount of data and to communicate and share ideas more efficiently. This is where data visualization is increasingly taking its rightful place as an important part of the business intelligence systems.

#Jmp graph builder background color how to

The challenge now is how to make sense of all these collected data and how to make the decision making process easier for users within organizations. Additionally, millions of networked sensors embedded in physical devices such as mobile phones, smart energy meters, automobiles, and machines in the factories are sensing, creating, and communicating the data to servers and data warehouses. Nowadays, different types of technologies are driving an exponential increase in the amount and complexity of transactional and operational data.