Data Sources
Too often, companies are data-rich but information-poor. This is usually the case when
there are a lot of data, but they reside in many different places and don’t integrate well to
be useful. For example, data may be in a spreadsheet, text file, or database. To create a
visualization, data can be gathered from many different sources, but it's important to
understand how the different data sets may be related. Not all data gathered may be used
or important that can be determined when creating the visualization. Data sources may be
internal to the company or external, such as publicly available data. Depending on the
visualization software used, there might be additional data provided to enrich the
visualization such as maps. An example of using public review data from the Internet and
combining it with Maps using Qlik Sense^1 is shown in Fig. 18.1.5. This example shows
higher volumes of data by location on a map using bubble size.
Chapter 18.1: An Introduction to Data Visualizations